Category Archives: Quantum Physics
Einsteins notes on theory of relativity fetch record 11.6m at auction – The Guardian
Albert Einsteins handwritten notes on the theory of relativity fetched a record 11.6m (9.7m) at an auction in Paris on Tuesday.
The manuscript had been valued at about a quarter of the final sum, which is by far the highest ever paid for anything written by the genius scientist.
It contains preparatory work for the physicists signature achievement, the theory of general relativity, which he published in 1915.
Calling the notes without a doubt the most valuable Einstein manuscript ever to come to auction, Christies which handled the sale on behalf of the Aguttes auction house had estimated prior to the auction that it would fetch between 2m and 3m.
Previous records for Einsteins works were $2.8m for the so-called God letter in 2018, and $1.56m in 2017 for a letter about the secret to happiness.
The 54-page document was handwritten in 1913 and 1914 in Zurich, Switzerland, by Einstein and his colleague and confidant Michele Besso, a Swiss engineer.
Christies said it was thanks to Besso that the manuscript was preserved for posterity. This was almost like a miracle, it said, since Einstein would have been unlikely to hold on to what he considered to be a simple working document.
Today the paper offered a fascinating plunge into the mind of the 20th centurys greatest scientist, Christies said. It discusses his theory of general relativity, building on his theory of special relativity from 1905 that was encapsulated in the equation E=mc2.
Einstein died in 1955 aged 76, lauded as one of the greatest theoretical physicists of all time. His theories of relativity revolutionised his field by introducing new ways of looking at the movement of objects in space and time.
In 1913 Besso and Einstein attacked one of the problems that had been troubling the scientific community for decades: the anomaly of the planet Mercurys orbit, Christies said.
This initial manuscript contains a certain number of unnoticed errors, it added. Once Einstein spotted them, he let the paper drop, and it was taken away by Besso.
Scientific documents by Einstein in this period, and before 1919 generally, are extremely rare, Christies said. Being one of only two working manuscripts documenting the genesis of the theory of general relativity that we know about, it is an extraordinary witness to Einsteins work.
Einstein also made major contributions to quantum mechanics theory and won the Nobel physics prize in 1921. He became a pop culture icon thanks to his dry witticisms and trademark unruly hair, moustache and bushy eyebrows.
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Einsteins notes on theory of relativity fetch record 11.6m at auction - The Guardian
From the atom bomb to quantum physics: how John Von Neumann changed the world – Telegraph.co.uk
In embarking on his biography of von Neumann, Bhattacharya sets himself a considerable challenge: writing about a man who, through crisis after crisis, through stormy intellectual disagreements and amid political controversy, contrived always, for his own sake and others, to avoid unnecessary drama. Whats a biographer to do, when part of his subjects genius is his ability to blend in with his friends and lead a good life? How to dramatise a man without flaws, who skates through life without any of the personal turmoil that makes for gripping storytelling?
If some lives resist the storytellers art, Bhattacharya does a cracking job of hiding the fact. He sensibly, and ably, moves the biographical goal-posts, making this not so much the story of a flesh-and-blood man, more the story of how an intellect evolves, moving as intellects often do (though rarely so spectacularly) from theoretical concerns to their application to their philosophy. As he moved from pure mathematics to physics to economics to engineering, observed former colleague Freeman Dyson, [Von Neumann] became steadily less deep and steadily more important.
Von Neumann did not really trust humanity to live up, morally, to its technical capacities. What we are creating now, he told his wife, after a sleepless night contemplating an H-bomb design, is a monster whose influence is going to change history, provided there is any history left. He was a quintessentially European pessimist, forged by years that saw the world he had grown up in being utterly destroyed. It was no mere cynic, though, who wrote, We will be able to go into space way beyond the moon if only people could keep pace with what they create.
Bhattacharyas agile, intelligent, intellectually enraptured account of Von Neumanns life reveals, after all, not a man from the future, not a one-dimensional cold-war warrior and for sure not Dr Strangelove (though Peter Sellers nicked his accent). Bhattacharya argues convincingly that Von Neumann was a man in whose extraordinarily fertile head the pre-war world found a lifeboat.
The Man from the Future: The Visionary Life of John von Neumann is published by Allen Lane at 20. To order your copy for 16.99 call 0844 871 1514 or visit the Telegraph Bookshop
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From the atom bomb to quantum physics: how John Von Neumann changed the world - Telegraph.co.uk
Myrtle Beach trash bin makes its way to Ireland, and more of this week’s weirdest news – WiscNews
HELENA, Mont. (AP) A little girl who lost a special teddy bear she'd had since being adopted from an Ethiopian orphanage thought it was gone forever when she forgot it along a trail in Glacier National Park last year.
Her parents and family friends still held onto a glimmer of hope.
Thanks to a social media plea, the sharp eyes and soft heart of a park ranger and the closure of a hiking trail because of grizzly bear activity on the same day a family friend visited the park, the teddy bear is back in the arms of 6-year-old Naomi Pascal in Jackson, Wyoming.
The bear's return, which has earned 12,000 likes on the Glacier National Park Facebook page, is a beautiful story that resonates, said Ben Pascal, Naomis dad and the senior pastor at the Presbyterian Church of Jackson Hole, a popular ski town south of Grand Teton National Park in Wyoming.
It was just a story of hope and kindness and people just working together, Pascal said. "It touched peoples hearts. It gave em hope. It made em feel like there is good in the world, which I believe there is.
Teddy was the first gift Ben and Addie Pascal sent to Naomi before she was adopted in 2016. She took Teddy with her on family trips to Ethiopia, Rwanda, Croatia and Greece.
When Pascal took his kids to Montana in October 2020, Teddy was once again along for the adventure. While Pascal and a friend of his went on a hike in Glacier National Park, family friend Terri Hayden watched the kids. They were almost back to Haydens home in Bigfork that night when they realized they didnt have Teddy.
It snowed overnight, closing the higher elevations of the park for the season and preventing Hayden from returning to search for Teddy. She made a report to park officials, hoping someone might turn in the bear to a lost-and-found.
It wasnt too long before Ranger Tom Mazzarisi, a bear specialist in Glacier, spotted the stuffed bear, soaking wet and sitting in melting snow near the Hidden Lake Trail while he and two others were doing some end-of-season work.
Typically, items that arent worth much monetarily get thrown out, Mazzarisi said. He was unaware the stuffed animal had been reported lost, but for some reason couldnt bring himself to dump it in the trash.
Teddy hibernated in Mazzarisis cabin in St. Mary and when Mazzarisi returned to work in April he immediately put him on the dash of my patrol truck."
It was a perfect little mascot and conversation piece, Mazzarisi said.
Teddy had a busy spring and summer, watching wolves howl at each other and working bear jams, which are traffic jams caused by bears being near the road, Mazzarisi said.
In June, Addie Pascal posted a plea on Facebook for help finding Teddy, saying: Hes been by her side for so many milestones. But there are many more adventures to be had!
People responded with well wishes and offers of replacement bears. A Michigan woman posted a photo she took of Teddy on the day it was lost, saying it was the only bear she saw in the park.
Hayden, meanwhile, felt bad about the loss of Naomis special bear. So when she and some family members went to Glacier in late September, she told them about it and stopped to check on potential lost-and-found sites.
Im a woman of faith, Hayden said. And that morning I said, OK Lord, if this bear is around, please put that bear in my path and let me come home with that bear today.
That's exactly what happened when Hayden and her adult niece, a photographer with cancer, spotted a stuffed bear in a rangers truck after being turned back from a trail that was closed due to bear activity.
She took a picture and sent it to Addie Pascal, who quickly confirmed it was Teddy.
Unfortunately, the rangers truck was locked. It was Mazzarisis day off and another ranger who was working on the trail had the keys. They left a note on the vehicle and found other rangers.
I run up to these rangers and Im hyperventilating, Hayden said. And Im going, Theres a truck down at the trailhead and theres a bear sitting on the dashboard.
They knew about the bear, confirmed where it had been found and soon returned Teddy to Hayden along with a junior park ranger badge and a ranger hat.
Hayden shipped the bear to Naomi, who said she was really excited when she got Teddy back.
Hayden bought another stuffed bear for Mazzarisi. He named her Clover, he said, because she reminds him of a grizzly bear he saw in Yellowstone National Park that would lay on her belly in a clover patch and eat.
Clover is wintering at Mazzarisis cabin in St. Mary. Next spring, shell ride in his truck.
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Myrtle Beach trash bin makes its way to Ireland, and more of this week's weirdest news - WiscNews
Breakthrough Smoking Gun Discovery in Power Consumption in Electronic Devices – SciTechDaily
In a new FLEET theoretical study published recently in PhysicalReview Letters, the so called smoking gun in the search for the topological magnetic monopole also known as the Berry curvature has been found.
The discovery is a breakthrough in the search for topological effects in non-equilibrium systems.
The group, led by UNSW physicist and Associate Professor, Dimi Culcer, identified an unconventional Hall effect, driven by an in-plane magnetic field in semiconductor hole systems that can be traced exclusively to the Berry curvature.
Enhanced topological effects will permit low-energy topological electronics to be viable for large-scale, room-temperature operation, and therefore support the IEEE roadmap towards future electronics sustainability.
Isolating topological responses in regular conductors has been a historically difficult task, says research team leader A/Prof Dimi Culcer (UNSW). Even though these topological responses are believed to be ubiquitous in solids.
Quantized responses, such as the quantum Hall and quantum spin-Hall effects provide a clear fingerprint of topology, yet these have only been observed in one-dimensional (1D) systems and are intimately connected with the existence of edge states.
An experimental set-up for measuring conventional Hall effect with magnetic field perpendicular to the surface. Credit: FLEET
In `regular conductors, meaning 2D and 3D systems, plenty of theoretical literature exists predicting topological contributions to e.g. the anomalous Hall effect, but these have never been observed unambiguously in a transport measurement.
There are two main reasons for this: (i) spin-up and spin-down electrons usually make opposite contributions, and these nearly cancel out; (ii) whatever is left is overwhelmed by disorder.
The new FLEET paper remedies this long-standing shortcoming by identifying a two-dimensional system in which the Berry curvature, and only the Berry curvature, is responsible for the Hall signal linear in the applied in-plane magnetic field.
Remarkably, all disorder contributions vanish: we are not aware of any other multi-dimensional system in which this is true, says lead author, UNSW PhD student James Cullen. Its experimental measurement is accessible to any state-of-the-art laboratory worldwide, hence we expect strong interest from experimentalists.
The research team sought the tell-tale mathematical trace called Berry curvature, which can be understood if we think of the concept of parallel transport that appears routinely in geometry and general relativity.
Think of a vector as an arrow that we place somewhere on the surface of a solid object, explains Dimi. Now we move the arrow around, making sure it always points at the same angle to the surface this is in fact like a human being walking along the surface of the Earth. We eventually bring the arrow back to the starting point after it has circled around, and we find that, in general, it points in a different direction it has magically rotated through some angle. The size of this angle is determined by the curvature of the surface.
Hall conductivity response to magnetic field. Credit: FLEET
In quantum mechanics, instead of vectors we have wave functions, but we can describe the dynamics using the same picture, and the curvature is called the Berry curvature.
The angle of rotation is replaced by the famous Berry phase, named after the mathematical physicist Prof Sir Michael Berry, who formulated the problem in the 1980s. Later on, building on work by Nobel laureate David Thouless, Qian Niu of UT Austin showed that the Berry curvature behaves like the coveted magnetic monopolebut not in real space, rather in momentum space, which is the space most condensed-matter physicists think in.
The Berry curvature drives topological effects in out-of-equilibrium systems because when an electric field is applied an electron is accelerated, so its momentum changes. When this happens its wave function changes slowly, in the same way that the `arrow is rotated in parallel transport, and as a result of this gradual rotation a transverse (Hall) current is generated. The Onsager relations, which are fundamental to non-equilibrium physics, say that the Hall current does not dissipate energy. The extreme case is the quantum anomalous Hall effect (QAHE), a quantum effect key to the function of topological materials, in which edge currents can flow with effectively zero electrical resistance.
(Quantum describes step transition in the transverse (Hall) resistance ie, it varies in discrete steps rather than smoothlywhile anomalous refers to the phenomenons occurrence in the absence of any applied magnetic field.)
Researchers seek to enhance QAHE in order to protect topological behaviour at higher temperatures, allowing for topological electronics that would be viable for room-temperature operation.
The significant reduction in electrical resistance permitted by room temperature QAHE would allow us to significantly reduce the power consumption in electronic devices, says Dimi.
Reference: Generating a topological anomalous Hall effect in a non-magnetic conductor: an in-plane magnetic field as a direct probe of the Berry curvature by James H. Cullen, Pankaj Bhalla, E. Marcellina, A.R. Hamilton and Dimitrie Culcer, 21 June 2021, Physical Review Letters.DOI 10.1103/PhysRevLett.126.256601
As well as support from theAustralian Research Council(Centres of Excellence program) the authors acknowledge the support of the National Key Research and Development Program (China), and the China Postdoctoral Science Foundation.
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Breakthrough Smoking Gun Discovery in Power Consumption in Electronic Devices - SciTechDaily
Understanding Quantum Primacy And How We Got There – Science 2.0
A quantum computer is a remarkable device. While, at current, it's still limited in its application, we now know that it can be faster than the fastest computers we currently have access to. As Scientific American reminds us, quantum primacy (also known as quantum supremacy) is the point at which a quantum machine outstrips a classical computer. Computers have helped advance civilization and increased our ability to process data many times over. Even so, there are some problems that not even they can solve. The more answers we find, the more questions we have. Quantum computing was built to multiply computing power by tapping into what we know about quantum states. While a traditional computer is limited by bits, quantum computers aren't, allowing them to perform calculations many times faster. Or so it's assumed. There's still much debate as to whether we've gotten to the point of quantum primacy or not. Are quantum computers faster than regular computers, or aren't they?
When we compare different classical computers, we use the clock speed of their processors to figure out how "fast" they are. For example, a 3GHz processor can perform two billion compute cycles per second. With quantum computers, it's a little more challenging to determine how fast it's doing its processes. Quantum computers use a system known as quantum bits or qubits. Classical computers contain binary bits that can either be a 1 or a 0. Qubits, by comparison, can be any of a set of quantum states and are sometimes superpositioned over one another. The physics behind it deals with the quantum particle's spin and considers that quantum states only collapse when they are observed. Because of these things, it can be challenging to put a value on a quantum computer's processing speed. Still, it's assumed that they will be many times faster than traditional computers using the same resources.
So why would we say that we've gotten to quantum primacy while some experts are still skeptical? The heart of the matter lies in how we do tests to verify the difference in processing speed between a quantum computer and a traditional one. In practice, when comparing a conventional system to a quantum computer, the go-to method is using sampling problems. Sampling problems are computational problems with solutions that are random instances of a given probability distribution. However, the question arises from a computing standpoint as to whether the best possible algorithm was used. Traditional computing places a lot of stock in the efficiency of algorithms, and by not using the best case for the random generation, experts argue that the quantum computer has an unfair advantage.
In a paper published in Physical Review Letters, a team from the University of Science and Technology of China has sought to challenge the limitations of testing. The team set up a case where they would use a superconducting system to demonstrate that a quantum computer could deliver accurate results in situations where classical computing cannot simulate anything similar. The non-specialist may find this description challenging to break down, but the easiest way to think about it is that the research team increased the number of sequential calculations within the system so that it would be impossible to have the same physical clock speed on a traditional computer. In this sense, raw processing power seems to be the metric by which the quantum computer is establishing its dominance.
The superconducting experiment takes a quantum processor and tasks it with a sampling problem. The problem is to produce random instances of measurements for experimental data, outputting in qubits. The logic behind this experiment is that this should be almost impossible for a traditional computer but feasible for a quantum machine. The only way that true quantum primacy can be established is by using large-scale sampling problems. In this experiment, the number of circuits used was large enough to guarantee a massive sample size but small enough to still be feasible to implement. However, the superconductor test was only one of two tests the team used to prove quantum primacy. The establishment of the investigation still has some detractors, but it's a step in the right direction.
The second test was known as the photonic experiment, seeking to solve the problem of boson sampling. The methodology for boson sampling requires a lot of processing for a traditional computing system, but theoretically, it should be a simple process for a quantum machine. While boson sampling has an ideal mathematical formula, it's difficult to realize experimentally. As a result, generalizations would need to be made, resulting in "Gaussian" boson sampling. While Gaussian boson sampling is experimentally viable, the results are much more challenging to prove quantum primacy with. However, given the assumptions made on classical systems and increasing the time scale to match what would be expected, the quantum computer managed to deliver results in a fraction of the calculated time. This result suggests that quantum machines are, indeed, "faster" than traditional computers.
Quantum computers are still a way off from being commercially viable machines. However, their power and the ability to deal with complex problems offer them a solution to questions in other areas of physics that need this type of computational system. When quantum primacy is mentioned, the issue that constantly comes up is whether classical computers can spoof results that "seem" right enough. These complex problems decrease the chance of spoofing, establishing a baseline that can be used to determine whether quantum computers are as fast as we assume they are. Can these samplers be used to solve complex physics problems? The possibility of using these systems to solve computationally difficult problems is one of the biggest questions of our time, but the initial results suggest that it can. On the other hand, researchers claim that, to date, there aren't any real, meaningful questions that the system can be used to test, leaving interpretation open. These two experiments are a great leap forward in putting quantum sampling to practical use in the field.
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Understanding Quantum Primacy And How We Got There - Science 2.0
One CEOs Foundations for Success: Core Values, Flexibility and Conviction – Worth
Some entrepreneurs can point to a single moment that defined their trajectory, but that is not the case for me. In fact, my career path has been defined by understanding when a new path was necessary and seizing the opportunity to take it.
I started my career as a carpenter, then went to university to become a quantum physicist. Not a typical occupational decision, to be sure. But I found inspiration again during my schooling (or perhaps it found me). After a personal incident, which Ill explain later, a light bulb moment occurred: What if we reimagine the medical records retrieval process? Lets simplify access for patients and make it easier for them to share their information with whoever needs it. That idea led me to where I am today.
Over time, three lessons have stuck with me and have guided me through some of the most challenging career decisions Ive had to make: Define and stay true to your mission, embrace the concept of conviction and be willing to bet big. While the journey to where I am today hasnt been the easiest, Ive found that dedicating myself to these three principles has served me well.
So many times, you know what you want to do, but do you know why you want to do it? Every entrepreneur should spend time answering this question honestly. There are many motivating factors for starting a business, but there must be a reason for doing it that resonates deeply within you.
That is your mission, and it must be grounded in your core values and beliefs. Your mission will serve as your companys North Star, guiding your next moves. But just identifying your mission isnt enoughyou have to execute it consistently, even if that means passing on an opportunity that isnt in line with the mission statement.
Because youll also be surrounding yourself with those who believe in the mission, staying true to it is key to maintaining the culture youre trying to nurture. Your staff must also feel empowered to share ideas that will enforce the mission and speak up when they think specific plans dont live up to it.
If you dont believe in what youre doing, no one else will either. So if youre all-in on your mission, you must exude that conviction. For example, a VC firm or potential customer is not only investing in your idea, but also in your ability to execute on that idea. That same sense of confidence goes for keeping a staff who can move the company forward. Your people wont embrace the mission if they dont see that passion from leadership.
To be fair, this suggestion might seem to contradict previous advice about being willing to pivot. While it is undoubtedly a fine line, I believe the two are equally crucial to suggestions. Someone wise once told me you should have strong opinions, weakly held. Yes, you should believe 100 percent in your idea, but you should challenge yourself to see if evidence suggests that you could be on the wrong path and move decisively.
While conviction is critical, there are times when evidence indicates that another idea simply makes more sense. I learned this lesson more than once.
Nine years ago, my father-in-law was diagnosed with terminal cancer and fought a long battle across multiple hospital systems, providers and caregivers. Amid unimaginable stress, my mother-in-law was also responsible for retrieving many of his medical records from different sources to help direct the next steps of his care. It was during this time that inspiration hit.
I decided to start a company to simplify the medical records retrieval process for patients and their families. When I was pursuing quantum physics, I could never have imagined what might catapult me from my lab. When I faced the challenge to help my in-laws, the force was great and served as new inspiration to step out of my comfort zone.
Then, another difficult decision occurred a few years later after cofounding the company. Once we got the business up and running, we came to a cold realization: The market wasnt set for this kind of company when patients are the customers. It was a hard pill to swallow since we were dedicated to staying true to our original mission of helping patients gain greater control of their medical records.
At this point, it was clear that we had to be open to the possibility that our original idea, our first big bet, would not lead us to success. We shifted to a more viable business model that still helped patients gain greater control of their data while targeting specific companies that use that data to make patient lives better. Instead of rolling a snowball uphill, we realized that we could relent to the market forces while staying true to our mission. Fortunately, we bet on another model, which has put us on a very successful track and which will take us through future stages in our plan.
While my resume is unconventional, it has created a textured tapestry of experiences. More than anything, my career has reaffirmed my belief that a commitment to core values, flexibility and conviction are the foundation for long-term success.
James Bateman is cofounder and CEO of Medchart. He and his team are on a mission to simplify access to patient-authorized information for businesses beyond care.
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One CEOs Foundations for Success: Core Values, Flexibility and Conviction - Worth
This chemist is reimagining the discovery of materials using AI and automation – MIT Technology Review
In time, as companies develop more powerful quantum computers, the VQE could enable chemists to run strikingly accurate simulations. These models might be so precise that scientists wont need to synthesize and test the materials at all. If we ever reach this point, Aspuru-Guzik says, my work in materials science will be done.
When Donald Trump was elected president of the United States in 2016, Aspuru-Guziks career was flourishing, but suddenly the prospect of remaining in the country no longer appealed to him. One week after the election, he began emailing colleagues in Australia and Canada, looking for a new job.
The University of Toronto offered him a prestigious government-funded position meant to lure top-tier researchers to the country and a cross-appointment at the Vector Institute for Artificial Intelligence, a nonprofit corporation cofounded by machine-learning pioneer Geoffrey Hinton that is quickly making Toronto a global hub for AI. The biggest inducement, however, was a promise to build a radical new materials lab called the Matter Lab, a project Aspuru-Guzik had dreamed of for years.
In the Matter Lab, we only attack a problem after asking three questions, says Aspuru-Guzik. Does it matter for the world? If not, then fuck it. Has somebody else already done it? If the answer is yes, theres no point. And is it remotely possible? Here, the word remotely is key. Aspuru-Guzik wants to tackle challenges that are within the range of feasibility, but barely so. If a material is too easy, he says, let other people find it.
Located in a postwar brick building in downtown Toronto, the lab is unlike any other at the university. The ceiling is adorned with maroon and burgundy acoustic panels, an homage to the beloved Mexican architect Luis Barragn. Tucked away in an inconspicuous corner is a typical lab bencha table with flasks, scales, and beakers beneath a fume hoodwhere graduate students can practice chemistry in much the same way their grandparents generation did. One gets the sense that this workstation isnt often used.
In the center is a $1.5 million robota nitrogen-filled glass-and-metal enclosure housing a mechanical arm that moves back and forth along a track. The arm can select powders and liquids from an array of canisters near the sides of the enclosure and deposit the contents, with exacting accuracy, in one of a number of reactors. The robot is like a tireless lab assistant who mixes chemicals 24/7, says Aspuru-Guzik. It can make 40 compounds in a mere 12 hours.
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Condensed Matter Seminar – Professor Joe Gomes | Physics and Astronomy | The University of Iowa – Iowa Now
Professor Joe Gomes;University of Iowa, Department of Chemical and Biochemical EngineeringBio:Joe Gomes is an assistant professor in the Chemical and Biochemical Engineering Department at the University of Iowa. He received a B.S. in Chemical Engineering from the University of Illinois-Chicago and a Ph.D. in Chemical Engineering from the University of California-Berkeley. He was a postdoctoral researcher in the Chemistry and Bioengineering Departments at Stanford University. Dr. Gomes conducts research in the areas of theoretical chemistry, machine learning, energy materials, and catalysis.
Abstract:Many important challenges in science and technology can be cast as optimization problems. The development of improved heuristic algorithms for determining approximate solutions to these optimization problems has high potential for impact across many disciplines. We propose an efficient heuristic algorithm for solving hard optimization problems which we refer to as Classical Quantum Optimization (CQO). Our approach consists of: (1) converting the optimization problem of interest into a (classical or quantum) spin glass Hamiltonian where the ground state configuration of this system encodes the optimal solution to the problem at hand, and (2) the variational optimization of a neural network representation of the ground state of the many-body system given by the problem-specific Hamiltonian. We demonstrate the utility of CQO on optimization problems found in graph theory. We compare CQO against other widely used heuristic solver algorithms and exact results when possible. The results show that CQO achieves state-of-the-art approximation ratio solutions for the MaxCut problem. We highlight potential applications of CQO towards solving the quantum chemical electronic structure problem.
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XtalPi and Signet Expand AI Drug Discovery Collaboration to Novel Cancer Target – PRNewswire
A significant challenge to developing new therapeutics is the ability to expand the search beyond known structures and accurately screen through a copious supply of novel molecules to identify top candidates with a desirable drug property profile indicative of development potential. Pharmacodynamics is a key factor in lead optimization and drug design. However, traditional cell-based in vitro studies have considerable limitations in modelingdrug effects in the human bodyand often produce unreliable efficacy data that can lead to clinical failure.
XtalPi has developed an AI drug discovery workflow that integrates its algorithm-driven platform with expert domain knowledge and targeted small-batch experiments. This three-pronged approach can generate novel scaffolds beyond the conventional boundaries of known chemical space and predict molecular behaviors as well as important physicochemical and pharmaceutical properties with enhanced accuracy. The generative and prediction models continue to improve their outcome through iterations in a closed-loop feedback process, with insights from XtalPi's team of medicinal chemists and high-quality data from its high-throughput wet lab, until promising candidates are validated in experiments. This workflow has been shown to substantially cut down the research time, costs, and experiments needed between target identification and IND-enabling experiments.
Signet Therapeutics was founded by scientists from Dana-Farber/Harvard Cancer Center, with extensive experience and unique expertise in oncology research. Using real-world cancer genomics data, the Signet team developed novel organoid disease models specific to cancer subtypes that simulate the unique 3D environment of organ tissues, yielding data with much higher clinical relevance. The two companies' first collaboration successfully combined XtalPi's AI-powered one-stop drug discovery capabilities with Signet's insight and functional biology platform and identified novel molecules with superior in vitro performance that are now quickly advancing toward clinical trials.
Building upon existing success, the two companies will continue to apply the tried-and-true collaboration model of "AI drug discovery + novel disease models". XtalPi's AI platform will generate an extra-large chemical space containing millions of molecules with high binding affinity to the cancer target discovered by Signet. After assessing these molecules by their predicted key drug properties such as selectivity, drug-likeness, novelty, and synthesizability, a smallbatchof top-ranking molecules is synthesized in XtalPi's lab and passed on to Signet's platformfor biological and functional evaluations. XtalPi will then use the data from organoid/based and biochemistry tests to further finetune its AI models and recommend increasingly potent drug candidates. Through such Design-Make-Test-Analyze cycles, XtalPi's AI platform and team of medicinal chemists work together to zero-in on molecules ofstrong bioactivity and a balanced drug property profile with minimal synthetization experiments.
Dr. Shuhao Wen, XtalPi's co-founder and chairman, says, "We are excited to expand our collaboration with Signet, which allows us to develop XtalPi's AI platform into new application areas and accelerate the growth and progression of Signet's first-in-class pipeline to provide much-needed treatment options for cancer patients worldwide. XtalPi aspires to be a strong partner for innovative biotech companies like Signet and empower the quick translation of new biological discoveries into promising new clinical candidates."
"XtalPi's AI drug discovery platform and Signet's novel disease models platform are highly complementary," says Dr. Haisheng Zhang, founder and CEO of Signet. "The value of XtalPi's AI is not only reflected in its incredible efficiency, but more importantly, in the discovery of de-novo molecules with strong clinical potential, helping us reach milestones in record speed. We look forward to working closely with XtalPi as an important partner in developing our first-in-class pipeline and bringing forth more targeted drugs to underserved disease markets."
About XtalPi Inc.
We are a quantum physics-based, AI-powered drug R&D company with the mission to revolutionize drug discovery and development by improving the speed, scale, novelty, and success rate. With operations in both China and the U.S., we strive to deploy the best capabilities and resources available to us in each market to meet the needs of our customers and collaborators.
We operate an integrated technology platform that combines the mutually informing and reinforcing cloud supercomputing-powered in silico tools and our wet lab, and enables discovery and development of innovative therapeutics at a pace and scale beyond traditional alternatives. We are among the pioneering AI-powered drug R&D companies in the world that have established a platform with an iterative feedback loop between quantum physics-based dry lab and wet lab capabilities.
About Signet Therapeutics
Signet Therapeutics is developing new medicines to improve the lives of patients diagnosed with cancer, especially those insensitive to chemotherapy and radiotherapy.
By strategically collaborating with XtalPi, we bring together the expertise of an AI-powered drug discovery platform and our unique novel disease models to discover and optimize promising new candidates for novel targeted cancer drugs. By taking these advantages, we hope to revolutionize traditional drug discovery for small molecules.
Contact: Ruyu Wang (617) 717-9867 [emailprotected]
SOURCE XtalPi Inc.
xtalpi.com
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XtalPi and Signet Expand AI Drug Discovery Collaboration to Novel Cancer Target - PRNewswire
I knew that was going to happen The truth about premonitions – The Guardian
Around seven years ago, Garrett was in a local Pizza Hut with his friends, having a day so ordinary that it is cumbersome to describe. He was 16 or thereabouts and had been told by teachers to go around nearby businesses and ask for gift vouchers that the school could use as prizes in a raffle. There were five other teenagers with Garrett, and theyd just finished speaking to the restaurant manager when suddenly, out of nowhere, Garretts body was flooded with shock. He felt cold and clammy and had an overwhelming sense that something had happened. He desperately tried to stop himself crying in front of his peers.
It was like Id just been told something terrible, the now 23-year-old from the southwest of England says (his name has been changed on his request). I couldnt tell you exactly what it was, but I just knew something had happened. Garrett returned home and tried to distract himself from a feeling he describes as grief. The phone rang. His mum answered it. A few hours earlier around the time Garrett was in the restaurant his grandfather had died from a sudden heart attack while on a cruise.
Although theres no way of knowing how many people worldwide feel that they sensed a loved ones death before being told, its a phenomenon thats been explored in everything from Star Wars to Downtown Abbey to Kung Fu Panda 2. Perhaps one of your own relatives has a story similar to Garretts perhaps you dismissed it, perhaps you treat it as family lore. Is there any evidence to suggest this phenomenon is real that humans can sense one anothers passing from a distance, that Garretts emotional afternoon was anything more than a coincidence? In a word, no. Meanwhile, it is well documented that the human mind is a bundle of bias: false memories, grief hallucinations and confirmation bias can easily explain these experiences. Besides which, for every person who feels a shiver when their loved one dies, there are hundreds more who were quietly eating pizza or happily riding a rollercoaster or bored doing maths homework completely unaware of their loss.
But are these dismissals too quick? Too easy? Some scientists claim that the complex world of quantum physics could be used to explain the paranormal (other scientists say theyre unbelievably wrong.) What can stories like Garretts tell us about what we do and dont know? What we are and arent willing to believe? About the disconnect between what some claim to experience and others claim is impossible?
Brian Josephson is your prototypical professor. With tufts of white hair atop his head, a knitted top and a glasses chain keeping his specs safe, he says via Zoom that, The academic community is a kind of club. Youre supposed to believe certain things and you run into problems if you disagree. In 1973, he was awarded the Nobel Prize in physics for his work on superconductivity. Later, during his time as a professor at the University of Cambridge, he began using quantum mechanics to explore consciousness and the paranormal.
Quantum entanglement nicknamed spooky action at a distance by Albert Einstein describes the (proven) phenomenon of two spatially separated particles influencing each other, even over large distances. While the phenomenon is subatomic, academics such as Josephson have theorised that quantum entanglement could explain phenomena like telepathy and psychokinesis.
There are many accounts of crisis telepathy, says Dean Radin, a parapsychologist and author of Entangled Minds: Extrasensory Experiences in a Quantum Reality. Does entanglement explain these effects? No, in the sense that entanglement as observed today in the physics lab, between pairs of photons, is extremely fragile and typically lasts only minuscule fractions of a second. But also, yes, in that we are at the earliest stages of understanding entanglement.
Radin says studies in quantum biology show that entanglement-type effects are present in living systems (academics from Oxford have successfully entangled bacteria) and he believes the human brain could in turn have quantum properties. If that is subsequently demonstrated I think its just a matter of time then that would go a long way towards providing a physical mechanism for telepathy, he says.
Put down your pen, scrunch up your letter to the editor. You only need an explanation for telepathy if you believe in telepathy in the first place, and experiments purporting its existence have been widely debunked. Josephson and Radin are regularly criticised by peers. In 2001, when Royal Mail released a set of stamps to celebrate the 100th anniversary of the Nobel Prize, there was outrage when Josephson wrote in an accompanying booklet that quantum physics may lead to an explanation for telepathy. In this very newspaper, academics branded the claim utter rubbish and complete nonsense.
When reviewing Entangled Minds for The Skeptics Dictionary, philosophy professor and professional sceptic Robert Carroll wrote that Radins book was aimed at non-scientists who are likely to be impressed by references to quantum physics.
Garrett has no idea what happened to him on the day his grandad died, but he is certain that it happened. He believes in some kind of interconnectedness between people. I think if its happened to you, then theres an underlying accepting of it, he says.
This is a sentiment shared by the self-described naturally sceptical Cassius Griesbach, a 24-year-old from Wisconsin who lost his grandfather in 2012. Griesbach says that he shot awake on the night his grandad passed and began to sob uncontrollably. It felt like something just rocked me, physically, he says. When his dad called moments later to say his grandad had died, a teenaged Griesbach replied: I know.
Griesbach doesnt blame anyone for being sceptical of his story. The further you get away from it, the more I would like to write it off as a coincidence, he says, But every time I sit down and think about it, it feels like its something else. Griesbach is not super religious and doesnt believe in ghosts. If it is something to do with actual science, I would think that would be science that we are nowhere near yet, you know?
Many would disagree, arguing that the answer lies in the social sciences. In 2014, Michael Shermer married Jennifer, who had moved from Kln to California and brought with her a 1978 radio belonging to her late grandfather. Shermer tried in vain to fix it before tossing it in a drawer, where it lay silent until the couple said their wedding vows at home months later. Just as Jennifer was keenly feeling the absence of her grandfather, the radio began to play a romantic song. It continued all night before it stopped working for good the next day.
Its just one of those anomalous experiences, says Shermer, a science historian, professional sceptic and author of The Believing Brain: from Spiritual Faiths to Political Convictions. How We Construct Beliefs and Reinforce Them as Truths. Randomness and chance play a big role in life and in the world, and our brains are designed to see patterns not randomness. Shermer argues that experiences like Garretts and Griesbachs are statistically more likely than we think.
You have billions of people worldwide having dozens of dreams [each] at night, he says. The odds are pretty good that on any given night, somebodys going to have a dream about somebody dying who actually dies. Thats inevitable. At the same time, he argues, we ignore all the times we suddenly sob or shudder and it turns out that no ones died or the times when someone does die and we dont feel anything at all.
There are other prosaic explanations. While Garretts grandfathers death was sudden and unexpected, Griesbachs grandfather was hospitalised the week before he died, when he shot awake in the middle of the night, Griesbachs first thought was, It happened he knew his grandfather had passed. But is that surprising when hed spent a week by his bedside?
John Bedard, a 36-year-old in Los Angeles, woke suddenly on the night his parents died. He was 10 and sleeping at a friends house when he awoke, just knowing something was wrong. He called his brother, sobbing. When his brother picked him up, he told Bedard their parents had died in a motorcycle accident.
And yet, there were clues that something was wrong much earlier. The sleepover wasnt planned Bedard had gone to friends to play when it started getting later and later and nobody came to pick him up. It was a Sunday night an unusual night to have a sleepover. Bedard was uneasy when he went to bed.
Despite these answers, explanations continue to be toyed with. Rupert Sheldrake is a biologist and parapsychologist who conceived of morphic resonance, the idea that interconnections exist between organisms. He believes the human mind has fields that stretch beyond the brain, much like electromagnetic fields. This, he says, explains why we can seemingly tell when someone behind us is staring at us, or why we sometimes think of someone right before they call. (Sheldrakes work has been called heresy in the journal Nature.)
Im not talking about the supernatural; I think these things are totally natural. I think theyre normal, not paranormal, he says. When it comes to experiences like Garretts, he says empirical studies are impossible. You cant ask somebody to die at a randomly selected time to see if their nearest and dearest respond So unfortunately, the evidence for cases to do with death has to be circumstantial.
Shermer is not a Sheldrake fan. The idea that a biologist like Rupert Sheldrake is going to uncover some new force of nature that somehow Einstein and everybody else has missed is just so unlikely to have happened, that almost any explanation like the ones Ive been giving you are way more likely. Josephsons rebuke of such criticisms: People say that [science is] always subject to revision and yet theyre secretly convinced that certain things cant happen.
What can and cant happen doesnt change what many feel has happened Garrett, Griesbach and Bedard all believe something strange and unexplainable occurred when they lost their loved ones. At the very least, these stories undeniably offer comfort.
As far as looking into it, I dont even know what there is to look into, Griesbach says after all, the phenomenon doesnt even have a name. I think the best thing that we could do for people is validate how they feel and let them grieve. Because whenever people have that happen, theyre also grieving. That is one of the most important times to just be a kind human to somebody.
This article was amended on 24 October 2021. In an earlier version Professor Josephson, speaking about the academic community, was quoted as saying: Youre supposed to believe certain things and you run into problems you disagree with. His actual quote was: Youre supposed to believe certain things and you run into problems if you disagree.
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I knew that was going to happen The truth about premonitions - The Guardian