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Govt proposes subsidy for MSMEs deploying cloud computing – Daily News & Analysis

The government has proposed subsidy up to Rs 1 lakh for micro and small enterprises to encourage them to use cloud computing for information and communications technology applications.

In cloud computing, MSMEs use Internet to access common as well as tailor-made IT infrastructure, including software, for managing business.

The subsidy will be provided on user charges for 2 years.

The proposals are part of the modified guidelines of the scheme for 'Promotion of Information and Communication Technology in MSME Sector'.

It centres around cloud computing which is emerging as a cost-effective and viable alternative compared to in-house IT infrastructure.

"The benefits that accrued through implementing information and communications technology (ICT) for subsidy period in their enterprises will motivate MSMEs to continue to use the ICT application with their own expenses after this period," the MSME ministry said in the draft guidelines.

The subsidy disbursed will be through the direct benefit transfer route. The MSMEs initially will make a full payment to the service provider. The office of the development commissioner MSME will disburse funds to Telecommunications Consultants India Ltd (TCIL), which in turn will transfer it to the account of MSMEs.

"It has been observed that MSMEs are generally not availing of the benefits of ICT application and cloud computing for promotion of their business. Therefore, it is proposed that MSMEs be sensitised regarding the benefits of ICT, including cloud computing application for business promotion, at a cost of Rs 5 crore," the MSME ministry said.

Cloud computing services will be provided in two categories. Under the first, maximum subsidy of Rs 1 lakh per unit will be disbursed over 2 years to micro and small enterprises.

In the second, services through cloud at much lower cost will be offered to the desirous micro, small and medium enterprises.

The subsidy will be on cost of usage services, which will be shared by the central government and the micro and small enterprise units availing of it.

The total budget outlay in the scheme for this activity is Rs 69 crore with the Centre's contribution of Rs 41.40 crore for 2 years.

The MSMEs will have to apply to the service provider and place their request on the official website or the national portal for taking the benefit of subsidy.

(This article has not been edited by DNA's editorial team and is auto-generated from an agency feed.)

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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.

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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.

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IBM To Commercialize Quantum Computing – ADT Magazine

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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.

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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.

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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.

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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

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

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Firewall Test, Web Tools and Free Internet Security Audit …

I have some fantastic free tools that you cant live without, I cant tell you how many times visitors found and fixed serious flaws on their computer or website that would have leaked private information or given the competition the upper hand!

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Jim Mullen: Unsocial internet security | Columnists | auburnpub.com – Auburn Citizen

I was having a hard time logging into my newspaper's web page, and finally got a tech person on the phone. After a little while, she asked if she could give me a new password.

Of course I said "yes," but I wondered why I needed a password at all. This wasn't my bank account, it was a newspaper subscription. Was somebody going to pretend to be me, log in and pay my bill? Please, let them. Then I realized, the password was for the newspaper's protection, not mine. They don't want someone reading it online for free. (You can still go down to the diner and read the print version for free, but that's another story.) But something tells me that no hacker would break into a newspaper to read the front page. They'd be looking to raid the paper's bank account. Sorry, can't help you there.

There have been a lot of stories about passwords and chip cards and ransomware and hackers in the news recently. Almost every minute of the day, you can find an expert on TV saying something like, "If you have a computer and it's hooked up to the internet, you've been hacked."

Experts are such a comfort.

Most people I know, even if they use computers at home and at the office, don't know enough about them to tinker with them or add basic security measures like a password manager program, two-step verification and a VPN. Which is why, when you call most companies' help lines, you're put on hold for half an hour. Because everyone with a computer is calling them, and the people smart enough to fix your problem don't want to spend all day talking to dummies like us. It's frustrating to be on either end of that phone conversation.

But here's the odd thing about hackers. If you're smart enough to hack into my computer, you're smart enough to get a real job. A job that pays more than hacking, has health care and retirement benefits, has a nice view of an office park and with little or no chance of being hauled off in handcuffs in the middle of the night by a multinational task force. You might even meet someone at the office that you can date and maybe, eventually have children with. You might make some friends. A highly unlikely scenario in the damp, smelly basement at Hacker Central where you work now, drinking highly caffeinated "energy drinks" and eating leftover pizza. Yes, you probably can't wear sweatpants at a real job and you'll have to pay taxes, but you'll be making a ton of money legally. That's gotta count for something.

Being a hacker must be like being one of those painters who make fake Rembrandts that sell for millions of dollars. First of all, you don't make millions, your dealer does. And if you're that good, why not just paint your own stuff? OK, maybe it won't sell for millions of dollars, but it will sell for something. And even if it doesn't sell, you can brag about it. Bragging about your fake Rembrandts is pretty much a police raid waiting to happen.

The sad thing is that we enable hackers. Research shows that people hate remembering and changing their passwords. Which really isn't a big problem if all you're doing online is reading email from your grandchildren and posting pictures on Pinterest. Who cares if you get hacked? Sure, it's inconvenient, but you can get a new email account. The real problem is that the people who work at your credit card company, at your stockbroker's, at your bank, at your statehouse and in your local and federal government hate remembering and changing their passwords as much as you do.

But don't worry: They're all getting technical help the same way I do: from their 13-year-old neighbor kids.

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Internet security in the spotlight: How is the internet safer today than it was 20 years ago? – Mobile Business Insights (blog)

The internet connects users all over the world, promoting communication, education and innovation. Mobile banking and digital wallets simplify commerce for millions, particularly in developing areas. Wearable devices provide users with real-time health and exercise data, while the Internet of Things (IoT) allows everyday objects to communicate with one another, providing superior control and relevant logistics for consumers and businesses alike. As this digital connectivity continues to grow, so does the need to promote safety in all parts of online activity, from financial payments and internet security threats to predatory behaviors and even cyberbullying.

Security experts are stepping up their participation and collaborating across borders to uplift the internets positive influences while addressing its problems. Given the growing role of digital innovation among enterprise brands, even the worlds largest countries have a vested interest in the goals and beliefs organized through this awareness.

By focusing on the good deeds by users that make the internet a safer place, its possible to champion the role younger generations have played in building a better online world. Yet its still important to reflect on the past and to consider which challenges await in the future.

It may sound counterintuitive, but hackers have played a big role in creating a safer internet for modern-day users. However, as VICE pointed out, its wrong to portray all hackers as the bad guys. In reality, many of them are making positive contributions to the safety and integrity of the internet, so much that they are playing the role of a digital immune system.

This is to say that hackers are particularly skilled at sniffing out and eradicating threats. Banking institutions and other companies including entire governments have employed hackers in the past to have them identify potential security weaknesses before a threatening entity can exploit them. The US government famously sponsored a Hack the Pentagon contest that rewarded hackers for identifying bugs in the organizations security front.

VICE also noted that hackers have been actively involved in developing medical device security that prevents malicious hackers from hijacking insulin pumps and injuring or even killing people.

As the reputation for hackers has improved, there has been continued organization and collaboration among these professionals, who have grown more powerful and productive by creating groups devoted to certain types of security. Increased support of these organizations is pushed forward to improve internet security for all users.

Though clear, significant progress has been made in taming the Wild West that was once the internet, plenty of work remains and new challenges continue to surface. Of particular concern in 2017 are the dangers associated with the IoT. This mobile ecosystem has endless potential to transform virtually every aspect of daily life for consumers around the world. However, this deep penetration of mobile technology also presents clear challenges if its leveraged by hackers.

For one, IoT devices create new entry points and new security challenges to overcome. Managing these large ecosystems is hard: A single enterprise could have thousands of devices in its IoT environment, and only one of them needs to be compromised for the entire system to be put at risk. Meanwhile, IoT devices have recently been used to execute distributed denial-of-service (DDoS) attacks, which can be used to direct the traffic of thousands (or even millions) of devices toward a single server, effectively shutting it down and causing it to incur massive security costs.

In cases where mobile technology is being used to save lives, it also creates a security concern that is literally life-or-death to those users. These high stakes require continued attention by the worlds best hackers to ensure its possible to defend against cybersecurity threats.

Today, online users can take comfort in knowing the internet is safer now than it was even a few years ago. Yet as the digital landscape changes, continued efforts must be made to stay ahead of these security threats.

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