Category Archives: Quantum Computer

IBM’s first commercial quantum computer could shake-up chemistry … – Chemistry World (subscription)

IBM will roll out its first commercial quantum computer later this year. The 5 quantum bit or qubit system called IBM Q will be available as a cloud-based service that people can access over the internet for a fee. Though currently in its infancy, quantum computing might one day allow scientists to simulate dynamic biochemical interactions with unprecedented accuracy a development that could speed up drug discovery.

IBMs system is, however, far from a tabletop appliance. Its superconducting qubits the basic unit of computing known as binary digit or bit in classical computers need temperatures of 20mK, lower than the temperature between the stars. The computer is housed in a multistage refrigerator with two cooling loops containing different helium isotopes.

Although the system is made out of millions of atoms, it behaves like a single quantum atom

Ivano Tavernelli, IBM Zurich

Unlike classical bits, which can only be in two states, 0 or 1, the number of states a qubit can occupy is unlimited. In behaviour typical to quantum objects such as atoms, each qubit can assume superposition states, in which it is 0 and 1 at the same time. This means the information density in quantum systems is higher, which would make them able to perform many more calculations per second than conventional computers. IBMs quantum computer, for example, has only five qubits, but is already about as powerful as a modern laptop that is based on about 10 times as many classical bits.

Quantum mechanics is one of the most successful theories in physics to describe nature, especially at its microscopic scale, explains Andreas Fuhrer, a quantum physicist at IBMs research laboratories in Zurich, Switzerland. The easiest way to simulate natural systems would therefore be a quantum computer an idea proposed several decades ago by physics Nobel prize winner Richard Feynman.

Although classical computers become more powerful every year, complex simulations like those of dynamic biological systems are, and might always be, out of reach even for supercomputers. Describing molecules for example their orbitals or their interactions with other molecules becomes impossible for scientists to do accurately for anything larger than a handful of atoms at a time. Scientists need to apply heavy approximations in their simulations: only a small part is described quantum mechanically and the rest is described with a highly approximated theory like classical mechanics molecules become balls and sticks bound together by springs, explains Ivano Tavernelli, a biochemist and theoretical physicist at IBM Zurich.

IBMs qubits are made from superconducting oscillators, which can be programmed with microwave pulses. This is a way to create an artificial atom using a fully controllable macroscopic device, explains Tavernelli. Although the system is made out of millions of atoms, it behaves like a single quantum atom.

Marco De Vivo, who runs the molecular modelling and drug discovery lab at the Italian Institute of Technology in Genoa, carries out computer-aided molecular docking studies. These predict how a potential drug molecule binds to a biological target, for example a protein. De Vivos team performs docking studies on millions of compounds, but the picture we get is static, he says. In nature, proteins arent static, they move according to the laws of physics. Molecular dynamics can look at these systems in motion, but probing them using quantum mechanical models is currently impossible.

Google and several university labs have previously built primitive quantum computers but IBM will be the first company to focus on how people use the system. In early 2016, IBM unveiled a freely accessible online service, the Quantum Experience. Intended as a training tool, it allowed IBM to gather data on usage and find out how it could be improved.

Since its introduction, 40,000 users have already been experimenting with the Quantum Experience for research into quantum systems, but not yet for simulations of any chemical systems, says Fuhrer. For this we will have to wait for future updates beyond the current 5 qubits, he adds. Currently, the Quantum Experience and IBM Q are not more powerful than a regular laptop.

Though IBM has not yet announced the exact launch date of IBM Q, or how much it will cost to access the system, it is clear that the 5 qubit computer wont be powerful enough for any simulations yet. Nevertheless, having this first quantum computing system available will push the community to develop algorithms and software, and move into a promising direction, says De Vivo. Accurate molecular simulations on quantum computers could not only speed up the drug discovery process but also lower costs, De Vivo thinks.

It is likely that within the next 10 years, quantum computers with 50 qubits will become available. Their computing power will rival that of the most advanced classical supercomputers but even more advanced systems might be needed to simulate complete biological system on a quantum level.

More:
IBM's first commercial quantum computer could shake-up chemistry ... - Chemistry World (subscription)

Quantum computing takes a massive step forward thanks to … – TechRadar

Were heading for an explosive quantum computing revolution, or so we keep being told, but how soon will it come? Clearly, we are slowly learning more and more about how these sort of super-powerful systems can be realised and the latest piece of research in the field concerns a fusion of traditional machine learning and quantum computing.

To what end? Essentially, this is about trying to characterise quantum systems and verify the operation of quantum processors more effectively and more cost-efficiently using quantum simulators and powerful machine learning routines.

In other words, its about pushing forward faster with developing quantum computing and making it a reality, which to put it mildly, is a very tricky business with a lot of challenges to overcome.

Scientists from the University of Bristols Quantum Engineering Technology Labs (pictured above) are behind the work, and have successfully demonstrated a quantum-enhanced machine learning tech which can be used with a quantum processor to learn about the evolution of other quantum systems.

Such analysis and characterisation of quantum systems is not something that a classical computer can achieve the hardware is simply too limited to deal with the task at hand.

The crew from Bristol University are working in collaboration with researchers from Microsofts Quantum Architectures and Computation Group, and others from the Eindhoven University of Technology.

Specifically, the scientists have used a reprogrammable two-qubit silicon quantum photonic processor and this has been characterised using Bayesian inference-powered machine learning.

Dr Nathan Wiebe from Microsoft Research commented: Machine learning will play a key role in the efficient characterisation, verification and validation of future quantum devices such as quantum computers, and also in the understanding and controlling of complex quantum system, e.g. chemical molecules.

Put simply, this is another significant step down the road to the realisation of powerful quantum computers. Speaking of which, earlier this month, IBM announced that its planning to create the first commercially-minded universal quantum computer.

Read more:
Quantum computing takes a massive step forward thanks to ... - TechRadar

David Deutsch and His Dream Machine – The New Yorker

David Deutsch believes that quantum computers will give evidence for the existence of parallel universes.CreditPhotograph by Hans Gissinger

On the outskirts of Oxford lives a brilliant and distressingly thin physicist named David Deutsch, who believes in multiple universes and has conceived of an as yet unbuildable computer to test their existence. His books have titles of colossal confidence (The Fabric of Reality, The Beginning of Infinity). He rarely leaves his house. Many of his close colleagues havent seen him for years, except at occasional conferences via Skype.

Deutsch, who has never held a job, is essentially the founding father of quantum computing, a field that devises distinctly powerful computers based on the branch of physics known as quantum mechanics. With one millionth of the hardware of an ordinary laptop, a quantum computer could store as many bits of information as there are particles in the universe. It could break previously unbreakable codes. It could answer questions about quantum mechanics that are currently far too complicated for a regular computer to handle. None of which is to say that anyone yet knows what we would really do with one. Ask a physicist what, practically, a quantum computer would be good for, and he might tell the story of the nineteenth-century English scientist Michael Faraday, a seminal figure in the field of electromagnetism, who, when asked how an electromagnetic effect could be useful, answered that he didnt know but that he was sure that one day it could be taxed by the Queen.

In a stairwell of Oxfords Clarendon Physics Laboratory there is a photo poster from the late nineteen-nineties commemorating the Oxford Center for Quantum Computation. The photograph shows a well-groomed crowd of physicists gathered on the lawn. Photoshopped into a far corner, with the shadows all wrong, is the head of David Deutsch, looking like a time traveller teleported in for the day. It is tempting to interpret Deutschs representation in the photograph as a collegial joke, because of Deutschs belief that if a quantum computer were built it would constitute near-irrefutable evidence of what is known as the Many Worlds Interpretation of quantum mechanics, a theory that proposes pretty much what one would imagine it does. A number of respected thinkers in physics besides Deutsch support the Many Worlds Interpretation, though they are a minority, and primarily educated in England, where the intense interest in quantum computing has at times been termed the Oxford flu.

But the infection of Deutschs thinking has mutated and gone pandemic. Other scientists, although generally indifferent to the truth or falsehood of Many Worlds as a description of the universe, are now working to build these dreamed-up quantum-computing machines. Researchers at centers in Singapore, Canada, and New Haven, in collaboration with groups such as Google and NASA, may soon build machines that will make todays computers look like pocket calculators. But Deutsch complements the indifference of his colleagues to Many Worlds with one of his owna professional indifference to the actual building of a quantum computer.

Physics advances by accepting absurdities. Its history is one of unbelievable ideas proving to be true. Aristotle quite reasonably thought that an object in motion, left alone, would eventually come to rest; Newton discovered that this wasnt true, and from there worked out the foundation of what we now call classical mechanics. Similarly, physics surprised us with the facts that the Earth revolves around the sun, time is curved, and the universe if viewed from the outside is beige.

Our imagination is stretched to the utmost, the Nobel Prize-winning physicist Richard Feynman noted, not, as in fiction, to imagine things which are not really there, but just to comprehend those things which are there. Physics is strange, and the people who spend their life devoted to its study are more accustomed to its strangeness than the rest of us. But, even to physicists, quantum mechanicsthe basis of a quantum computeris almost intolerably odd.

Quantum mechanics describes the natural history of matter and energy making their way through space and time. Classical mechanics does much the same, but, while classical mechanics is very accurate when describing most of what we see (sand, baseballs, planets), its descriptions of matter at a smaller scale are simply wrong. At a fine enough resolution, all those reliable rules about balls on inclined planes start to fail.

Quantum mechanics states that particles can be in two places at once, a quality called superposition; that two particles can be related, or entangled, such that they can instantly cordinate their properties, regardless of their distance in space and time; and that when we look at particles we unavoidably alter them. Also, in quantum mechanics, the universe, at its most elemental level, is random, an idea that tends to upset people. Confess your confusion about quantum mechanics to a physicist and you will be told not to feel bad, because physicists find it confusing, too. If classical mechanics is George Eliot, quantum mechanics is Kafka.

All the oddness would be easier to tolerate if quantum mechanics merely described marginal bits of matter or energy. But it is the physics of everything. Even Einstein, who felt at ease with the idea of wormholes through time, was so bothered by the whole business that, in 1935, he co-authored a paper titled Can quantum-mechanical description of physical reality be considered complete? He pointed out some of quantum mechanicss strange implications, and then answered his question, essentially, in the negative. Einstein found entanglement particularly troubling, denigrating it as spooky action at a distance, a telling phrase, which consciously echoed the seventeenth-century disparagement of gravity.

The Danish physicist Niels Bohr took issue with Einstein. He argued that, in quantum mechanics, physics had run up against the limit of what science could hope to know. What seemed like nonsense was nonsense, and we needed to realize that science, though wonderfully good at predicting the outcomes of individual experiments, could not tell us about reality itself, which would remain forever behind a veil. Science merely revealed what reality looked like to us.

Bohrs stance prevailed over Einsteins. Of course, both sides of that dispute were wrong, Deutsch observed, but Bohr was trying to obfuscate, whereas Einstein was actually trying to solve the problem. As Deutsch notes in The Fabric of Reality, To say that prediction is the purpose of a scientific theory is to confuse means with ends. It is like saying that the purpose of a spaceship is to burn fuel. After Bohr, a shut up and calculate philosophy took over physics for decades. To delve into quantum mechanics as if its equations told the story of reality itself was considered sadly misguided, like those earnest inquiries people mail to 221B Baker Street, addressed to Sherlock Holmes.

I met David Deutsch at his home, at four oclock on a wintry Thursday afternoon. Deutsch grew up in the London area, took his undergraduate degree at Cambridge, stayed there for a masters in mathwhich he claims hes no good atand went on to Oxford for a doctorate in physics. Though affiliated with the university, he is not on staff and has never taught a course. I love to give talks, he told me. I just dont like giving talks that people dont want to hear. Its wrong to set up the educational system that way. But thats not why I dont teach. I dont teach for visceral reasonsI just dislike it. If I were a biologist, I would be a theoretical biologist, because I dont like the idea of cutting up frogs. Not for moral reasons but because its disgusting. Similarly, talking to a group of people who dont want to be there is disgusting. Instead, Deutsch has made money from lectures, grants, prizes, and his books.

In the half-light of the winter sun, Deutschs house looked a little shabby. The yard was full of what appeared to be English ivy, and near the entrance was something twiggy and bushlike that was either dormant or dead. A handwritten sign on the door said that deliveries should knock hard. Deutsch answered the door. Im very much in a rush, he told me, before Id even stepped inside. In a rush about so many things. His thinness contributed to an oscillation of his apparent age between nineteen and a hundred and nineteen. (Hes fifty-seven.) His eyes, behind thick glasses, appeared outsized, like those of an appealing anime character. His vestibule was cluttered with old phone books, cardboard boxes, and piles of papers. Which isnt to say that I dont have time to talk to you, he continued. Its just thatthats why the house is in such disarray, because Im so rushed.

More than one of Deutschs colleagues told me about a Japanese documentary film crew that had wanted to interview Deutsch at his house. The crew asked if they could clean up the house a bit. Deutsch didnt like the idea, so the film crew promised that after filming they would reconstruct the mess as it was before. They took extensive photographs, like investigators at a crime scene, and then cleaned up. After the interview, the crew carefully reconstructed the former disorder. Deutsch said he could still find things, which was what he had been worried about.

Taped onto the walls of Deutschs living room were a map of the world, a periodic table, a hand-drawn cartoon of Karl Popper, a poster of the signing of the Declaration of Independence, a taxonomy of animals, a taxonomy of the characters in The Simpsons, color printouts of pictures of McCain and Obama, with handwritten labels reading this one and that one, and two color prints of an actor who looked to me a bit like Hugh Grant. There were also old VHS tapes, an unused fireplace, a stationary exercise bike, and a large flat-screen television whose newness had no visible companion. Deutsch offered me tea and biscuits. I asked him about the Hugh Grant look-alike.

You obviously dont watch much television, he replied. The man in the photographs was Hugh Laurie, a British actor known for his role in the American medical show House. Deutsch described House to me as a great program about epistemology, which, apart from fundamental physics, is really my core interest. Its a program about the myriad ways that knowledge can grow or can fail to grow. Dr. House is based on Sherlock Holmes, Deutsch informed me. And House has a friend, Wilson, who is based on Watson. Like Holmes, House is an arch-rationalist. Everythings got to have a reason, and if he doesnt know the reason its because he doesnt know it, not because there isnt one. Thats an essential attitude in fundamental science. One imagines the ghost of Bohr would disagree.

Deutschs reputation as a cloistered genius stems in large part from his foundational work in quantum computing. Since the nineteen-thirties, the field of computer science has held on to the idea of a universal computer, a notion first worked out by the fields modern founder, the British polymath Alan Turing. A universal computer would be capable of comporting itself as any other computer, just as a synthesizer can make the sounds made by any other musical instrument. In a 1985 paper, Deutsch pointed out that, because Turing was working with classical physics, his universal computer could imitate only a subset of possible computers. Turings theory needed to account for quantum mechanics if its logic was to hold. Deutsch proposed a universal computer based on quantum physics, which would have calculating powers that Turings computer (even in theory) could not simulate.

According to Deutsch, the insight for that paper came from a conversation in the early eighties with the physicist Charles Bennett, of I.B.M., about computational-complexity theory, at the time a sexy new field that investigated the difficulty of a computational task. Deutsch questioned whether computational complexity was a fundamental or a relative property. Mass, for instance, is a fundamental property, because it remains the same in any setting; weight is a relative property, because an objects weight depends on the strength of gravity acting on it. Identical baseballs on Earth and on the moon have equivalent masses, but different weights. If computational complexity was like massif it was a fundamental propertythen complexity was quite profound; if not, then not.

I was just sounding off, Deutsch said. I said they make too much of thismeaning complexity theorybecause theres no standard computer with respect to which you should be calculating the complexity of the task. Just as an objects weight depends on the force of gravity in which its measured, the degree of computational complexity depended on the computer on which it was measured. One could find out how complex a task was to perform on a particular computer, but that didnt say how complex a task was fundamentally, in reference to the universe. Unless there really was such a thing as a universal computer, there was no way a description of complexity could be fundamental. Complexity theorists, Deutsch reasoned, were wasting their time.

Deutsch continued, Then Charlie said, quietly, Well, the thing is, there is a fundamental computer. The fundamental computer is physics itself. That impressed Deutsch. Computational complexity was a fundamental property; its value referenced how complicated a computation was on that most universal computer, that of the physics of the world. I realized that Charlie was right about that, Deutsch said. Then I thought, But these guys are using the wrong physics. They realized that complexity theory was a statement about physics, but they didnt realize that it mattered whether you used the true laws of physics, or some approximation, i.e., classical physics. Deutsch began rewriting Turings universal-computer work using quantum physics. Some of the differences are very large, he said. Thus, at least in Deutschs mind, the quantum universal computer was born.

A number of physics journals rejected some of Deutschs early quantum-computing work, saying it was too philosophical. When it was finally published, he said, a handful of people kind of got it. One of them was the physicist Artur Ekert, who had come to Oxford as a graduate student, and who told me, David was really the first one who formulated the concept of a quantum computer.

Other important figures early in the field included the reclusive physicist Stephen J. Wiesner, who, with Bennetts encouragement, developed ideas like quantum money (uncounterfeitable!) and quantum cryptography, and the philosopher of physics David Albert, whose imagining of introspective quantum automata (think robots in analysis) Deutsch describes in his 1985 paper as an example of a true quantum computer. Ekert says of the field, Were a bunch of odd ducks.

Although Deutsch was not formally Ekerts adviser, Ekert studied with him. He kind of adopted me, Ekert recalled, and then, afterwards, I kind of adopted him. My tutorials at his place would start at around 8 P.M., when David would be having his lunch. Wed stay talking and working until the wee hours of the morning. He likes just talking things over. I would leave at 3 or 4 A.M., and then David would start properly working afterwards. If we came up with something, we would write the paper, but sometimes we wouldnt write the paper, and if someone else also came up with the solution wed say, Good, now we dont have to write it up. It was not yet clear, even in theory, what a quantum computer might be better at than a classical computer, and so Deutsch and Ekert tried to develop algorithms for problems that were intractable on a classical computer but that might be tractable on a quantum one.

One such problem is prime factorization. A holy grail of mathematics for centuries, it is the basis of much current cryptography. Its easy to take two large prime numbers and multiply them, but its very difficult to take a large number that is the product of two primes and then deduce what the original prime factors are. To factor a number of two hundred digits or more would take a regular computer many lifetimes. Prime factorization is an example of a process that is easy one way (easy to scramble eggs) and very difficult the other (nearly impossible to unscramble them). In cryptography, two large prime numbers are multiplied to create a security key. Unlocking that key would be the equivalent of unscrambling an egg. Using prime factorization in this way is called RSA encryption (named for the scientists who proposed it, Rivest, Shamir, and Adleman), and its how most everything is kept secret on the Internet, from your credit-card information to I.R.S. records.

In 1992, the M.I.T. mathematician Peter Shor heard a talk about theoretical quantum computing, which brought to his attention the work of Deutsch and other foundational thinkers in what was then still an obscure field. Shor worked on the factorization problem in private. I wasnt sure anything would come of it, Shor explained. But, about a year later, he emerged with an algorithm that (a) could only be run on a quantum computer, and (b) could quickly find the prime factors of a very large numberthe grail! With Shors algorithm, calculations that would take a normal computer longer than the history of the universe would take a sufficiently powerful quantum computer an afternoon. Shors work was the biggest jump, the physicist David DiVincenzo, who is considered among the most knowledgeable about the history of quantum computing, says. It was the moment when we were, like, Oh, now we see what it would be good for.

Today, quantum computation has the sustained attention of experimentalists; it also has serious public and private funding. Venture-capital companies are already investing in quantum encryption devices, and university research groups around the world have large teams working both to build hardware and to develop quantum-computer applicationsfor example, to model proteins, or to better understand the properties of superconductors.

Artur Ekert became a key figure in the transition from pure theory to building machines. He founded the quantum computation center at Oxford, as well as a similar center a few years later at Cambridge. He now leads a center in Singapore, where the government has made quantum-computing research one of its top goals. Today in the field theres a lot of focus on lab implementation, on how and from what you could actually build a quantum computer, DiVincenzo said. From the perspective of just counting, you can say that the majority of the field now is involved in trying to build some hardware. Thats a result of the success of the field. In 2009, Google announced that it had been working on quantum-computing algorithms for three years, with the aim of having a computer that could quickly identify particular things or people from among vast stores of video and imagesDavid Deutsch, say, from among millions of untagged photographs.

In the early nineteenth century, a computer was any person who computed: someone who did the math for building a bridge, for example. Around 1830, the English mathematician and inventor Charles Babbage worked out his idea for an Analytical Engine, a machine that would remove the human from computing, and thus bypass human error. Nearly no one imagined an analytical engine would be of much use, and in Babbages time no such machine was ever built to completion. Though Babbage was prone to serious mental breakdowns, and though his bent of mind was so odd that he once wrote to Alfred Lord Tennyson correcting his math (Babbage suggested rewriting Every minute dies a man / Every minute one is born as Every moment dies a man / Every moment one and a sixteenth is born, further noting that although the exact figure was 1.167, something must, of course, be conceded to the laws of meter)we can now say the guy was on to something.

A classical computerany computer we know todaytransforms an input into an output through nothing more than the manipulation of binary bits, units of information that can be either zero or one. A quantum computer is in many ways like a regular computer, but instead of bits it uses qubits. Each qubit (pronounced Q-bit) can be zero or one, like a bit, but a qubit can also be zero and onethe quantum-mechanical quirk known as superposition. It is the state that the cat in the classic example of Schrdingers closed box is stuck in: dead and alive at the same time. If one reads quantum-mechanical equations literally, superposition is ontological, not epistemological; its not that we dont know which state the cat is in, but that the cat really is in both states at once. Superposition is like Freuds description of true ambivalence: not feeling unsure, but feeling opposing extremes of conviction at once. And, just as ambivalence holds more information than any single emotion, a qubit holds more information than a bit.

What quantum mechanics calls entanglement also contributes to the singular powers of qubits. Entangled particles have a kind of E.S.P.: regardless of distance, they can instantly share information that an observer cannot even perceive is there. Input into a quantum computer can thus be dispersed among entangled qubits, which lets the processing of that information be spread out as well: tell one particle something, and it can instantly spread the word among all the other particles with which its entangled.

Theres information that we cant perceive when its held among entangled particles; that information is their collective secret. As quantum mechanics has taught us, things are inexorably changed by our trying to ascertain anything about them. Once observed, qubits are no longer in a state of entanglement, or of superposition: the cat commits irrevocably to life or death, and this ruins the quantum computers distinct calculating power. A quantum computer is the pot that, if watched, really wont boil. Charles Bennett described quantum information as being like the information of a dreamwe cant show it to others, and when we try to describe it we change the memory of it.

But, once the work on the problem has been done among the entangled particles, then we can look. When one turns to a quantum computer for an answer, that answer, from having been held in that strange entangled way, among many particles, needs then to surface in just one, ordinary, unentangled place. That transition from entanglement to non-entanglement is sometimes termed collapse. Once the system has collapsed, the information it holds is no longer a dream or a secret or a strange cat at once alive and dead; the answer is then just an ordinary thing we can read off a screen.

Qubits are not merely theoretical. Early work in quantum-computer hardware built qubits by manipulating the magnetic nuclei of atoms in a liquid soup with electrical impulses. Later teams, such as the one at Oxford, developed qubits using single trapped ions, a method that confines charged atomic particles to a particular space. These qubits are very precise, though delicate; protecting them from interference is quite difficult. More easily manipulated, albeit less precise, qubits have been built from superconducting materials arranged to model an atom. Typically, the fabrication of a qubit is not all that different from that of a regular chip. At Oxford, I saw something that resembled an oversize air-hockey table chaotically populated with a specialty Lego set, with what looked like a salad-bar sneeze guard hovering over it; this extended apparatus comprised lasers and magnetic-field generators and optical cavities, all arranged at just the right angles to manipulate and protect from interference the eight tiny qubits housed in a steel tube at the tables center.

Oxfords eight-qubit quantum computer has significantly less computational power than an abacus, but fifty to a hundred qubits could make something as powerful as any laptop. A team in Bristol, England, has a small, four-qubit quantum computer that can factor the number 15. A Canadian company claims to have built one that can do Sudoku, though that has been questioned by some who say that the processing is effectively being done by normal bits, without any superposition or entanglement.

Increasing the number of qubits, and thus the computers power, is more than a simple matter of stacking. One of the main problems with scaling up is a qubits fidelity, Robert Schoelkopf, a physics professor at Yale who leads a quantum-computing team, explained. By fidelity, he refers to the fact that qubits decoherefall out of their information-holding statevery easily. Right now, qubits can be faithful for about a microsecond. And our calculations take about one hundred nanoseconds. Either calculations need to go faster or qubits need to be made more faithful.

What qubits are doing as we avert our gaze is a matter of some dispute, and occasionallyshut up and calculateof some determined indifference, especially for more pragmatically minded physicists. For Deutsch, to really understand the workings of a quantum computer necessitates subscribing to Hugh Everetts Many Worlds Interpretation of quantum mechanics.

Everetts theory was neglected upon its publication, in 1957, and is still a minority view. It entails the following counterintuitive reasoning: every time there is more than one possible outcome, all of them occur. So if a radioactive atom might or might not decay at any given second, it both does and doesnt; in one universe it does, and in another it doesnt. These small branchings of possibility then ripple out until everything that is possible in fact is. According to Many Worlds theory, instead of a single history there are innumerable branchings. In one universe your cat has died, in another he hasnt, in a third you died in a sledding accident at age seven and never put your cat in the box in the first place, and so on.

Many Worlds is an ontologically extravagant proposition. But it also bears some comfortingly prosaic implications: in Many Worlds theory, sciences aspiration to explain the world fully remains intact. The strangeness of superposition is, as Deutsch explains it, simply the phenomenon of physical variables having different values in different universes. And entanglement, which so bothered Einstein and others, especially for its implication that particles could instantly communicate regardless of their distance in space or time, is also resolved. Information that seemed to travel faster than the speed of light and along no detectable pathwayspookily transmitted as if via E.S.P.can, in Many Worlds theory, be understood to move differently. Information still spreads through direct contactthe ordinary way; its just that we need to adjust to that contact being via the tangencies of abutting universes. As a further bonus, in Many Worlds theory randomness goes away, too. A ten-per-cent chance of an atom decaying is not arbitrary at all, but rather refers to the certainty that the atom will decay in ten per cent of the universes branched from that point. (This being science, theres the glory of nuanced dissent around the precise meaning of each descriptive term, from chance to branching to universe.)

In the nineteen-seventies, Everetts theory received some of the serious attention it missed at its conception, but today the majority of physicists are not much compelled. Ive never myself subscribed to that view, DiVincenzo says, but its not a harmful view. Another quantum-computing physicist called it completely ridiculous, but Ekert said, Of all the weird theories out there, I would say Many Worlds is the least weird. In Deutschs view, Everetts approach was to look at quantum theory and see what it actually said, rather than hope it said certain things. What we want is for a theory to conform to reality, and, in order to find out whether it does, you need to see what the theory actually says. Which with the deepest theories is actually quite difficult, because they violate our intuitions.

I told Deutsch that Id heard that even Everett thought his theory could never be tested.

That was a catastrophic mistake, Deutsch said. Every innovator starts out with the world view of the subject as it was before his innovation. So he cant be blamed for regarding his theory as an interpretation. Butand here he paused for a momentI proposed a test of the Everett theory.

Deutsch posited an artificial-intelligence program run on a computer which could be used in a quantum-mechanics experiment as an observer; the A.I. program, rather than a scientist, would be doing the problematic looking, and, by means of a clever idea that Deutsch came up with, a physicist looking at the A.I. observer would see one result if Everetts theory was right, and another if the theory was wrong.

It was a thought experiment, though. No A.I. program existed that was anywhere near sophisticated enough to act as the observer. Deutsch argued that theoretically there could be such a program, though it could only be run on radically more advanced hardwarehardware that could model any other hardware, including that of the human brain. The computer on which the A.I. program would run had to have the property of being universal . . . so I had to postulate this quantum-coherent universal computer, and that was really my first proposal for a quantum computer. Though I didnt think of it as that. And I didnt call it a quantum computer. But thats what it was. Deutsch had, it seems, come up with the idea for a quantum computer twice: once in devising a way to test the validity of the Many Worlds Interpretation, and a second time, emerging from the complexity-theory conversation, with evidenced argument supporting Many Worlds as a consequence.

To those who find the Many Worlds Interpretation needlessly baroque, Deutsch writes, the quantum theory of parallel universes is not the problemit is the solution. . . . It is the explanationthe only one that is tenableof a remarkable and counterintuitive reality. The theory also explains how quantum computers might work. Deutsch told me that a quantum computer would be the first technology that allows useful tasks to be performed in collaboration between parallel universes. The quantum computers processing power would come from a kind of outsourcing of work, in which calculations literally take place in other universes. Entangled particles would function as paths of communication among different universes, sharing information and gathering the results. So, for example, with the case of Shors algorithm, Deutsch said, When we run such an algorithm, countless instances of us are also running it in other universes. The computer then differentiates some of those universes (by creating a superposition) and as a result they perform part of the computation on a huge variety of different inputs. Later, those values affect each other, and thereby all contribute to the final answer, in just such a way that the same answer appears in all the universes.

Deutsch is mainly interested in the building of a quantum computer for its implications for fundamental physics, including the Many Worlds Interpretation, which would be a victory for the argument that science can explain the world and that, consequently, reality is knowable. (House cures people, Deutsch said to me when discussing Hugh Laurie, because hes interested in solving problems, not because hes interested in people.) Shors algorithm excites Deutsch, but here is how his excitement comes through in his book The Fabric of Reality:

To those who still cling to a single-universe world-view, I issue this challenge: explain how Shors algorithm works. I do not merely mean predict that it will work, which is merely a matter of solving a few uncontroversial equations. I mean provide an explanation. When Shors algorithm has factorized a number, using 10500 or so times the computational resources than can be seen to be present, where was the number factorized? There are only about 1080 atoms in the entire visible universe, an utterly minuscule number compared with 10500. So if the visible universe were the extent of physical reality, physical reality would not even remotely contain the resources required to factorize such a large number. Who did factorize it, then? How, and where, was the computation performed?

Deutsch believes that quantum computing and Many Worlds are inextricably bound. He is nearly alone in this conviction, though many (especially around Oxford) concede that the construction of a sizable and stable quantum computer might be evidence in favor of the Everett interpretation. Once there are actual quantum computers, Deutsch said to me, and a journalist can go to the actual labs and ask how does that actual machine work, the physicists in question will then either talk some obfuscatory nonsense, or will explain it in terms of parallel universes. Which will be newsworthy. Many Worlds will then become part of our culture. Really, it has nothing to do with making the computers. But psychologically it has everything to do with making them.

Its tempting to view Deutsch as a visionary in his devotion to the Many Worlds Interpretation, for the simple reason that he has been a visionary before. Quantum computers should have been invented in the nineteen-thirties, he observed near the end of our conversation. The stuff that I did in the late nineteen-seventies and early nineteen-eighties didnt use any innovation that hadnt been known in the thirties. That is straightforwardly true. Deutsch went on, The question is why.

DiVincenzo offered a possible explanation. Your average physicists will say, Im not strong in philosophy and I dont really know what to think, and it doesnt matter. He does not subscribe to Many Worlds, but is reluctant to dismiss Deutschs belief in it, partly because it has led Deutsch to come up with his important theories, but also because quantum mechanics does have a unique place in physics, in that it does have a subcurrent of philosophy you dont find even in Newtons laws or gravity. But the majority of physicists say its a quagmire they dont want to get intotheyd rather work out the implications of ideas; theyd rather calculate something.

At Yale, a team led by Robert Schoelkopf has built a two-qubit quantum computer. Deutsch is an original thinker and those early papers remain very important, Schoelkopf told me. But what were doing here is trying to develop hardware, to see if these descriptions that theorists have come up with work. They have configured their computer to run what is known as a Grovers algorithm, one that deals with a four-card-monte type of question: Which hidden card is the queen? Its a sort of Shors algorithm for beginners, something that a small quantum computer can take on.

The Yale team fabricates their qubit processor chips in house. The chip is basically made of a very thin wafer of sapphire or siliconsomething thats a good insulatorthat we then lay a patterned film of superconducting metal on to form the wiring and qubits, Schoelkopf said. What they showed me was smaller than a pinkie nail and looked like a map of a subway system.

Schoelkopf and his colleague Michel Devoret, who leads a separate team, took me to a large room of black lab benches, inscrutable equipment, and not particularly fancy monitors. The aesthetic was inadvertent steampunk. The dust in the room made me sneeze. We dont like the janitors to come sweep for fear theyll disturb something, Schoelkopf said.

The qubit chip is small, but its supporting apparatus is imposing. The largest piece of equipment is the plumbing of the very high-end refrigerator, which reduces the temperature around the two qubits to ten millidegrees above absolute zero. The cold improves the computers fidelity. Another apparatus produces the microwave signals that manipulate the qubits and set them into any degree of superposition that an experimenter chooses.

Running this Grovers algorithm takes a regular computer three or fewer stepsif after checking the third card you still havent found the queen, you know she is under the fourth cardand on average it takes 2.25 steps. A quantum computer can run it in just one step. This is because the qubits can represent different values at the same time. In the four-card-monte example, each of the cards is represented by one of four states: 0,0; 0,1; 1,0; 1,1. Schoelkopf designates one of these states as the queen, and the quantum computer must determine which one. The magic comes from the initial state of the computer, he explained. Both of the qubits are set up, via pulses of microwave radiation, in a superposition of zero and one, so that each qubit represents two states at once, and together the two qubits represent all four states.

Information can, in a way, be holographically represented across the whole computer; thats what we exploit, Devoret explained. This is a property you dont find in a classical information processor. A bit has to be in one stateit has to be here or there. Its useful to have the bit be everywhere.

Through superposition and entanglement, the computer simultaneously investigates each of the four possible queen locations. Right now we only get the right answer eighty per cent of the time, and we find even that pretty exciting, Schoelkopf said.

With Grovers algorithm, or theoretically with Shors, calculations are performed in parallel, though not necessarily in parallel worlds. Its as if I had a gazillion classical computers that were all testing different prime factors at the same time, Schoelkopf summarized. You start with a well-defined state, and you end with a well-defined state. In between, its a crazy entangled state, but thats fine.

Schoelkopf emphasized that quantum mechanics is a funny system but that it really is correct. These oddnesses, like superposition and entanglementthey seemed like limitations, but in fact they are exploitable resources. Quantum mechanics is no longer a new or surprising theory that should strike us as odd.

Schoelkopf seemed to suggest that existential questions like those which Many Worlds poses might be, finally, simply impracticable. If you have to describe a result in my lab in terms of the computing chip, he continued, plus the measuring apparatus, plus the computer doing data collection, plus the experimenter at the bench . . . at some point you just have to give up and say, Now quantum mechanics doesnt matter anymore, now I just need a classical result. At some point you have to simplify, you have to throw out some of the quantum information. When I asked him what he thought of Many Worlds and of collapse interpretationsin which looking provokes a shift from an entangled to an unentangled statehe said, I have an alternate language which I prefer in describing quantum mechanics, which is that it should really be called Collapse of the Physicist. He knows its a charming formulation, but he does mean something substantive in saying it. In reality its about where to collapse the discussion of the problem.

I thought Deutsch might be excited by the Yale teams research, and I e-mailed him about the progress in building quantum computers. Oh, Im sure theyll be useful in all sorts of ways, he replied. Im really just a spectator, though, in experimental physics.

Sir Arthur Conan Doyle never liked detective stories that built their drama by deploying clues over time. Conan Doyle wanted to write stories in which all the ingredients for solving the crime were there from the beginning, and in which the drama would be, as in the Poe stories that he cited as precedents, in the mental workings of his ideal ratiocinator. The story of quantum computing follows a Holmesian arc, since all the clues for devising a quantum computer have been there essentially since the discovery of quantum mechanics, waiting for a mind to properly decode them.

But writers of detective stories have not always been able to hew to the rationality of their idealized creations. Conan Doyle believed in spiritualism and in fairies, even as the most famed spiritualists and fairy photographers kept revealing themselves to be fakes. Conan Doyle was also convinced that his friend Harry Houdini had supernatural powers; Houdini could do nothing to persuade him otherwise. Conan Doyle just knew that there was a spirit world out there, and he spent the last decades of his life corralling evidence ex post facto to support his unshakable belief.

Physicists are ontological detectives. We think of scientists as wholly rational, open to all possible arguments. But to begin with a conviction and then to use ones intellectual prowess to establish support for that conviction is a methodology that really has worked for scientists, including Deutsch. One could argue that he dreamed up quantum computing because he was devoted to the idea that science can explain the world. Deutsch would disagree.

In The Fabric of Reality, Deutsch writes, I remember being told, when I was a small child, that in ancient times it was still possible to know everything that was known. I was also told that nowadays so much is known that no one could conceivably learn more than a tiny fraction of it, even in a long lifetime. The latter proposition surprised and disappointed me. In fact, I refused to believe it. Deutschs lifes work has been an attempt to support that intuitive disbeliefa gathering of argument for a conviction he held because he just knew.

Deutsch is adept at dodging questions about where he gets his ideas. He joked to me that they came from going to parties, though I had the sense that it had been years since hed been to one. He said, I dont like the style of science reporting that goes over that kind of thing. Its misleading. So Brahms lived on black coffee and forced himself to write a certain number of lines of music a day. Look, he went on, I cant stop you from writing an article about a weird English guy who thinks there are parallel universes. But I think that style of thinking is kind of a put-down to the reader. Its almost like saying, If youre not weird in these ways, youve got no hope as a creative thinker. Thats not true. The weirdness is only superficial.

Talking to Deutsch can feel like a case study of reason following desire; the desire is to be a creature of pure reason. As he said in praise of Freud, He did a good service to the world. He made it O.K. to speak about the mechanisms of the mind, some of which we may not be aware of. His actual theory was all false, theres hardly a single true thing he said, but thats not so bad. He was a pioneer, one of the first who tried to think about things rationally.

Read more:
David Deutsch and His Dream Machine - The New Yorker

Quantum computer learns to ‘see’ trees – Science Magazine

A D-Wave quantum processor learned to tell trees from rivers, fields, and roads.

Creative Commons

By Jane C. HuMar. 8, 2017 , 10:45 AM

Scientists have trained a quantum computer to recognize trees. That may not seem like a big deal, but the result means that researchers are a step closer to using such computers for complicated machine learning problems like pattern recognition and computer vision.

The team used a D-Wave 2X computer, an advanced model from the Burnaby, Canadabased company that created the worlds first quantum computer in 2007. Conventional computers can already use sophisticated algorithms to recognize patterns in images, but it takes lots of memory and processor power. This is because classical computers store information in binary bitseither a 0 or a 1. Quantum computers, in contrast, run on a subatomic level using quantum bits (or qubits) that can represent a 0 and a 1 at the same time. A processor using qubits could theoretically solve problems exponentially more quickly than a traditional computer for a small set of specialized problems. The nature of quantum computing and the limitations of programming qubits has meant that complex problems like computer vision have been off-limits until now.

In the new study, physicist Edward Boyda of St. Marys College of California in Moragaand colleagues fed hundreds of NASA satellite images of California into the D-Wave 2X processor, which contains 1152 qubits. The researchers asked the computer to consider dozens of featureshue, saturation, even light reflectanceto determine whether clumps of pixels were trees as opposed to roads, buildings, or rivers. They then told the computer whether its classifications were right or wrong so that the computer could learn from its mistakes, tweaking the formula it uses to determine whether something is a tree.

Classification is a tricky problem; there are short trees, tall trees, trees next to each other, next to buildingsall sorts of combinations, says team member Ramakrishna Nemani, an earth scientist at NASAs Advanced Supercomputer Division in Mountain View, California.

Satellite photos of California landscapes (top); in green, what the D-Wave recognized as trees (bottom).

E. Boyda, et. al., PLOS ONE 12, 2 (27 February 2017) PLOS

After it was trained, theD-Wave was 90% accurate in recognizing treesin aerial photographs of Mill Valley, California, the team reports inPLOS ONE. It was only slightly more accurate than a conventional computer would have been at the same problem. But the results demonstrate how scientists can program quantum computers to look at and analyze images, and opens up the possibility of using them to solve other complex problems that require heavy data crunching.

For example, Nemani says the study lays the groundwork for better climate forecasting. By poring over NASAs satellite imagery, quantum processors could take a machine learning approach to uncover new patterns in how weather moves across the world over the course of weeks, months, or even years, he says. Say youre living in Indiayou might get an advance notice of a cyclone 6 months ahead of time because we see a pattern of weather in northern Canada.

But it will take a great deal of work before quantum computing is the norm in solving complex computational problems. Theres a popular belief that quantum computers do things that classical computers cannot, but the only difference is speed, says Itay Hen, a computer scientist at the University of Southern California in Marina del Rey, who was not involved with the research. This particular work hasnt shown that the D-Wave device can beat standard computers in that. Hen points out that in researchers search for ways to harness the power of quantum computing, some applications might be dead ends. A machine learning application, like the one in the paper, is one direction for quantum computers, Hen says. But its unclear whether or not theres hope there.

Please note that, in an effort to combat spam, comments with hyperlinks will not be published.

Read the rest here:
Quantum computer learns to 'see' trees - Science Magazine

IBM QISKit Aims to Enable Cloud-basaed Quantum Computation – InfoQ.com

The Quantum Experience team at IBM has started to open source their quantum software QISKit, writes quantum computing and information scientist Jay Gambetta. QISKit allows developers to explore IBM cloud-enabled quantum processor using Python.

IBM QISKit includes three main components:

The QISKit client can also be used in a Jupyter Notebook:

A Python QISKit SDK, which includes several tools that IBM Q engineers have provided for illustrative purposes. In particular, the SDK shows how you can compose multiple jobs for complex experiments such as state tomography, randomized benchmarking, and entanglement tests.

The OPENQASM specification, which details the Open Quantum Assembly Language 2.0 and is a fundamental reading if you want to understand both the quantum computation model brought forward by IBM and the syntax used to express quantum experiments.

In IBMs OPENAQSM model, a quantum computation is carried through in four steps:

IBM Quantum Experience aims to make it possible to connect to IBMs quantum computer via IBMs cloud and to experiment with or integrate quantum capability into software programs. Quantum computers differ from classical transistor-based computers where there are only two allowed states due to the use of quantum bits, which can be the superposition of multiple states. Quantum computation is touted to be able to efficiently solve problems which are not approachable using ordinary computers, in the field of integer factorization (cryptography), for the simulation of quantum physical processes, the approximation of Jones polynomials, solving Pells equation, and others. For some of those problems, quantum computers offer a polynomial speedup over their classical counterparts, which also implies that currently intractable (NP) problems will not convert into tractable problems thanks to quantum computing, only more approachable.

The rest is here:
IBM QISKit Aims to Enable Cloud-basaed Quantum Computation - InfoQ.com

Legacy of brilliant young scientist is a major leap in quantum … – Phys.Org

March 7, 2017 Dr Nick Russell was a brilliant young scientist who tragically lost his life in a climbing accident last year. Credit: Emily Darley

Researchers from the University of Bristol and Universit Libre de Bruxelles have theoretically shown how to write programs for random circuitry in quantum computers.

The breakthrough, published in the New Journal of Physics, is based on the work of first author, Dr Nick Russell, who tragically lost his life in a climbing accident last year.

"One of the many applications for random quantum circuits is the realisation of a rudimentary version of a quantum computer, known as a "boson sampler". A boson sampler could be among an early class of quantum technologies that prove their intrinsic superiority over classical machines. Such a demonstration would be a landmark in the history of science," said Dr Anthony Laing from the University of Bristol's School of Physics, who supervised Dr Russell's thesis.

The work of Dr Russell and researchers in Bristol and Brussels, has theoretically solved the problem of programming random circuitry in quantum computers.

"Most of us understand randomness in terms of the roll of a dice. Programming randomness into any machine might therefore seem like a straightforward task - simply turn any available control knobs to a random setting.

"However, because of the way quantum particles travel through their circuitry, they are affected by many control settings in a certain order. The control knobs must be carefully set according to a specific design, and finding the recipe for randomness in quantum circuitry can be especially tricky.

"With his research, Nick and the teams at Bristol and Brussels have effectively unloaded the quantum dice. By discovering how to program this randomness into circuitry, we are a step closer to creating a boson sampler, and ultimately a quantum computer.

"I'm delighted to see Nick's results published. He was a brilliant scientist. This and his other work will continue to have a significant impact on the field of quantum computing for many years to come," said Dr Laing.

Explore further: Quantum RAM: Modelling the big questions with the very small

More information: Nicholas J Russell et al. Direct dialling of Haar random unitary matrices, New Journal of Physics (2017). DOI: 10.1088/1367-2630/aa60ed

When it comes to studying transportation systems, stock markets and the weather, quantum mechanics is probably the last thing to come to mind. However, scientists at Australia's Griffith University and Singapore's Nanyang ...

IBM has announced its plans to begin offering the world's first commercial universal quantum-computing servicecalled IBM Q, the system will be made available to those who wish to use it for a fee sometime later this year. ...

A new way to run a quantum algorithm using much simpler methods than previously thought has been discovered by a team of researchers at the University of Bristol. These findings could dramatically bring forward the development ...

Griffith University is part of a worldwide scientific experiment that will test the laws of quantum physics and you're invited!

Scientists and engineers from the Universities of Bristol and Western Australia have developed how to efficiently simulate a "quantum walk" on a new design for a primitive quantum computer.

Physicists are one step closer to proving the reliability of a quantum computer a machine which promises to revolutionise the way we trade over the internet and provide new tools to perform powerful simulations.

Physicists from MIPT have predicted the existence of transparent composite media with unusual optical properties. Using graphics card-based simulations, scientists studied regular volume structures composed of two dielectrics ...

Liquid droplets are natural magnifiers. Look inside a single drop of water, and you are likely to see a reflection of the world around you, close up and distended as you'd see in a crystal ball.

When measuring time, we normally assume that clocks do not affect space and time, and that time can be measured with infinite accuracy at nearby points in space. However, combining quantum mechanics and Einstein's theory ...

An international team of researchers working at IBMs' San Jose research facility announced recently that they had created the world's smallest magnetit was made from a single atom. In their paper published in the journal ...

University of Minnesota electrical and computer engineering researchers have created a magnetic tunnel junction that can be switched by a pulse of light lasting one trillionth of a seconda new record. The magnetic tunnel ...

Faster, more efficient data storage and computer logic systems could be on the horizon thanks to a new way of tuning electronic energy levels in two-dimensional films of crystal, discovered by researchers at MIT.

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Excerpt from:
Legacy of brilliant young scientist is a major leap in quantum ... - Phys.Org

IBM Q is the first initiative to build commercial quantum computing systems – BetaNews

Your business will finally get the chance to use a quantum computer to do... well, whatever a business could use a quantum computer for. IBM has just announced IBM Q--"an industry-first initiative to build commercially available universal quantum computing systems."

Its systems and services will be delivered via the IBM Cloud platform, and IBM believes it could be used to "deliver solutions to important problems where patterns cannot be seen because the data doesnt exist and the possibilities that you need to explore to get to the answer are too enormous to ever be processed by classical computers."

It is following up on this announcement by adding two more things: a new API, and an upgraded simulator.

The API for the IBM Quantum Experience allows devs to build interfaces between the existing five qubit cloud-based quantum computer and a classical computer without the need for a deeper knowledge of quantum physics.

IBM has invested over decades to growing the field of quantum computing and we are committed to expanding access to quantum systems and their powerful capabilities for the science and business communities, said Arvind Krishna, senior vice president of Hybrid Cloud and director for IBM Research. Following Watson and blockchain, we believe that quantum computing will provide the next powerful set of services delivered via the IBM Cloud platform, and promises to be the next major technology that has the potential to drive a new era of innovation across industries.

Published under license from ITProPortal.com, a Future plc Publication. All rights reserved.

Image Credit: Tomasz Bidermann/Shutterstock

Here is the original post:
IBM Q is the first initiative to build commercial quantum computing systems - BetaNews

IBM To Commercialize Quantum Computing – ADT Magazine

News

IBM is moving forward with its effort to build commercially viable quantum computers.

Cutting-edge IBM Q systems will be delivered to select business and science partners over the next few years via the IBM Cloud platform, the company said this week.

According to the initiative's Web site, "A quantum computer is an entirely new type of system based on the properties of quantum physics." Working with quantum mechanics at the most fundamental levels, this approach promises to process information in a new way completely different from classical computers. The technology is explained here.

As part of its initiative, IBM announced it will also provide software tools and an environment that enables collaboration with developers, programmers and university partners.

The company said it will scale its quantum computers to 50 qubits, based on advancing all parts of the system from the superconducting qubits to system integration and semiconductor-based advances.

Last June, IBM launched the cloud-based IBM Quantum Experience, which allowed researchers to connect to IBM's quantum processor via the IBM Cloud to run algorithms and work with the individual quantum bits. About 40,000 scientists used the environment to run over 275,000 experiments, the company said.

To make its quantum tools more accessible, IBM is now offering an API for developers to build connections between quantum and classical computers. IBM has made the specs for its new Quantum API available on GitHub and provided simple scripts to demonstrate how the API functions.

In the first half of 2017, IBM said it plans to release a software development kit on the IBM Quantum Experience so users to build simple quantum applications and software programs. The company also said it will release an upgraded simulator that can model circuits with up to 20 qubits.

One of the first and most promising applications for quantum computing will be in the area of chemistry, according to IBM, which also suggests the technology could be used in supply chain and logistics, financial services, artificial intelligence and cloud security.

"Unlocking the usefulness of quantum computing will require hands-on experience with real quantum computers," said Isaac Chuang, professor of physics and professor of electrical engineering and computer science at MIT. In the fall 2016 semester, MIT used IBM's Quantum Experience as part of an online quantum information science course. Students "were able to run experiments on IBM's quantum processor and test out for themselves quantum computing principles and theories they were learning," he said.

About the Author

Susan Miller is an editor and writer with 1105 Media's Public Sector Media group.

Link:
IBM To Commercialize Quantum Computing - ADT Magazine

Andreas Antonopoulos: Bitcoin’s Design Can Withstand Quantum Computer Attack – CryptoCoinsNews

Could the NSA build a quantum computer that could break bitcoin? Bitcoin visionary Andreas Antonopoulos addressed this question in an audiotaped presentation posted on SoundCloud.

It is certain that the NSA has already built quantum computers because Google has one at their data center, and if they have one, the NSA has one thats ten times better, that costs as much as a moon mission, and can break encryption systems at a much better rate and with much more efficiency, he said.

The interesting question is: willthey use it to break bitcoin? The answer to this question is no, Antonopoulos said. The most important well-guarded secret among encryption scientists is that if you use a technology to break encryption, you will have to explainto the world how you broke it.

In World War II, when the British captured Enigma (cipher machines developed by the Germans to protect military intelligence), the government allowed cities to be bombed since they didnt have a good enough story for how they knew they would be bombed.

The last thing theyre going to use that on is bitcoin, because the moment you use it on bitcoin and you announce to the world we have quantum cryptography that can build elliptic curves, guess what happens? Your rivals try to implement quantum resistance. You just blew all of your advancements in that technology, he stated.

No, the NSA is not going to hack us with their quantum computer, Antonopoulossaid. But what happens when the technology becomes commercially viable and more broadly available?

Nothing to fear, according to Antonopoulos, thanks to bitcoins design. Thats where you see two Satoshis initial design choices in retrospect are absolutely genius, he said.

Bitcoin uses two fundamental cryptographic systems to achieve its security.

One is elliptic curve multiplication on a prime field which is a one-way function. This depends on prime function factorization mathematics that is vulnerable to quantum technology.

The other is hash algorithms, and hash algorithms are not actually factorizable with quantum technology, he said. We dont have very good algorithms for breaking hashes with Quantum computing.

Satoshi didnt put the elliptic curve public keys in the transactions until after theyve been spent. A bitcoin address is a double-hashed version of a public key, meaning the public key is never seen by anyone until the user claims it by spending the transaction.

Also read: Quantum computers will destroy bitcoin, scientists warn

Therefore, if one follows the fundamental best practice in spending bitcoin which is to only use an address once, use a different address for every transaction and spend it completely every time the first time the public key is advertised on the network is the moment it no longer contains any money.

Go ahead and crack it; youve got an empty address, he said. And that means you cant go back and look at keys that were addresses three years ago and simply crack them because you dont have the public keys.

This little genius of a design element is not an accident, he said. It allows the user to do future upgrades.

He called it a brilliant design element that most people have missed.

Every cryptographic algorithm ever invented has a shelf life between 20 and 30 years before becoming vulnerable to broadly available commercial technology that can crack it, he said.

Its a continuous arms race, he said. The good news is we can upgrade.

Featured image from Shutterstock.

View original post here:

Andreas Antonopoulos: Bitcoin's Design Can Withstand Quantum Computer Attack - CryptoCoinsNews

Scientists reveal new super-fast form of computer that ‘grows as it … – Phys.Org

March 1, 2017 DNA double helix. Credit: public domain

Researchers from The University of Manchester have shown it is possible to build a new super-fast form of computer that "grows as it computes".

Professor Ross D King and his team have demonstrated for the first time the feasibility of engineering a nondeterministic universal Turing machine (NUTM), and their research is to be published in the prestigious Journal of the Royal Society Interface.

The theoretical properties of such a computing machine, including its exponential boost in speed over electronic and quantum computers, have been well understood for many years but the Manchester breakthrough demonstrates that it is actually possible to physically create a NUTM using DNA molecules.

"Imagine a computer is searching a maze and comes to a choice point, one path leading left, the other right," explained Professor King, from Manchester's School of Computer Science. "Electronic computers need to choose which path to follow first.

"But our new computer doesn't need to choose, for it can replicate itself and follow both paths at the same time, thus finding the answer faster.

"This 'magical' property is possible because the computer's processors are made of DNA rather than silicon chips. All electronic computers have a fixed number of chips.

"Our computer's ability to grow as it computes makes it faster than any other form of computer, and enables the solution of many computational problems previously considered impossible.

"Quantum computers are an exciting other form of computer, and they can also follow both paths in a maze, but only if the maze has certain symmetries, which greatly limits their use.

"As DNA molecules are very small a desktop computer could potentially utilize more processors than all the electronic computers in the world combined - and therefore outperform the world's current fastest supercomputer, while consuming a tiny fraction of its energy."

The University of Manchester is famous for its connection with Alan Turing - the founder of computer science - and for creating the first stored memory electronic computer.

"This new research builds on both these pioneering foundations," added Professor King.

Alan Turing's greatest achievement was inventing the concept of a universal Turing machine (UTM) - a computer that can be programmed to compute anything any other computer can compute. Electronic computers are a form of UTM, but no quantum UTM has yet been built.

DNA computing is the performing of computations using biological molecules rather than traditional silicon chips. In DNA computing, information is represented using the four-character genetic alphabet - A [adenine], G [guanine], C [cytosine], and T [thymine] - rather than the binary alphabet, which is a series of 1s and 0s used by traditional computers.

Explore further: Researchers restore first ever computer music recording

More information: Currin, A., Korovin, K., Ababi, M., Roper, K., Kell, D.B., Day, P.J., King, R.D. (2017) Computing exponentially faster: Implementing a nondeterministic universal Turing machine using DNA. Journal of the Royal Society Interface. (in press). On Arxiv: arxiv.org/abs/1607.08078

New Zealand researchers said Monday they have restored the first recording of computer-generated music, created in 1951 on a gigantic contraption built by British genius Alan Turing.

"Siri, will it rain today?", "Facebook, tag my friend in this photo." These are just two examples of the incredible things that we ask computers to do for us. But, have you ever asked yourself how computers know how to do ...

(Phys.org)A team of researchers made up of representatives from Google, Lawrence Berkeley National Labs, Tufts University, UC Santa Barbara, University College London and Harvard University reports that they have successfully ...

An international team, led by a scientist from the University of Sussex, have today unveiled the first practical blueprint for how to build a quantum computer, the most powerful computer on Earth.

Scientists at the University of Sussex have invented a ground-breaking new method that puts the construction of large-scale quantum computers within reach of current technology.

IBM on Wednesday opened its quantum computer processor to anyone who wants to try what is expected to be a new kind of computing with enormously improved power and speed.

(Phys.org)Dynamic holograms allow three-dimensional images to change over time like a movie, but so far these holograms are still being developed. The development of dynamic holograms may now get a boost from recent research ...

Controlled nuclear fusion has been a holy grail for physicists who seek an endless supply of clean energy. Scientists at Rice University, the University of Illinois at Urbana-Champaign and the University of Chile offered ...

Today's society is growing in population and productivity puts ever higher demands on the Internet, and without scientific developments to provide ways meeting our traffic needs, it will begin to clog. Mapping photons to ...

Some insect bodies have evolved the abilities to repel water and oil, adhere to different surfaces, and eliminate light reflections. Scientists have been studying the physical mechanisms underlying these remarkable properties ...

When matter is cooled to near absolute zero, intriguing phenomena emerge. These include supersolidity, where crystalline structure and frictionless flow occur together. ETH researchers have succeeded in realising this strange ...

Researchers at Karolinska Institutet and KTH Royal Institute of Technology in Sweden have contributed to a recent discovery that the heart is filled with the aid of hydraulic forces, the same as those involved in hydraulic ...

Adjust slider to filter visible comments by rank

Display comments: newest first

Just another form of efficient parallel processing

In wikipedia, you can look at "Biological computing" and "Amorphous Computing"

One can also look at the work of Pr. Andrew Adamatzky in reaction-diffusion computing & massive parallel computation

And at the work of MIT Amorphous Computing

And many others in the field of "Unconventional Computing" or "Unconventional Programming Paradigms"

Seems like we are just determined to create an all-powerful AI that sees us as either a nuisance or food.

What I get from this article is that I no longer need to tack on additional memory when the program needs more: it will do that on its own. This is absolutely wonderful!

A system like this could, theoretically, turn the entire cosmos into memory for certain algorithms and inputs, and still be nowhere near finished, but I assume we'd cut the machine's power supply long before that happened (that's also a solution to the all-powerful AI monster; Asimov's Three Laws of Robotics is another)...

Seems to me, implementing this won't be so easy, either in building the DNA or in creating an interface to it. And trying to simulate it with software using conventional computers means that you'll have to add processors and memory as it "grows".

Do they have any wetwear that can actually do this or is it just speculation on what one might be able to do if they did?

Our real universe with quantum mechanics replicating parallel universes is already such a growing endless computer experimenting all the possibilities with sosies of us living all the possibles lifes with the same past. DNA is not necessary, it is useful and easy because life use it to keep past memory.

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Read the original:

Scientists reveal new super-fast form of computer that 'grows as it ... - Phys.Org