Monthly Archives: May 2024

Meta AI Head: ChatGPT Will Never Reach Human Intelligence – PYMNTS.com

Posted: May 23, 2024 at 7:56 am

Metaschief AI scientist thinks large language models will never reach human intelligence.

Yann LeCunasserts that artificial intelligence (AI) large language models (LLMs) such as ChatGPT have alimited grasp on logic, the Financial Times (FT) reported Wednesday (May 21).

These models, LeCun told the FT, do not understand the physical world, do not have persistent memory, cannot reason in any reasonable definition of the term and cannot plan...hierarchically.

He argued against depending on LLMs to reach human-level intelligence, as these models need the right training data to answer prompts correctly, thus making them intrinsically unsafe.

LeCun is instead working on a totally new cohort of AI systems that aim to power machines with human-level intelligence, though this could take 10 years to achieve.

The report notes that this is a potentially risky gamble, as many investors are hoping for quick returns on their AI investments. Meta recently saw its value shrink by almost $200 billion after CEO Mark Zuckerbergpledged to up spendingand turn the tech giant into the leading AI company in the world.

Meanwhile, other companies are moving forward with enhanced LLMs in hopes of creating artificial general intelligence (AGI), or machines whose cognition surpasses humans.

For example, this week saw AI firmScaleraise $1 billion in a Series F funding round that valued the startupat close to $14 billion, with founder Alexandr Wang discussing the companys AGI ambitions in the announcement.

Hours later, the French startup called H revealed it had raised $220 million, with CEO Charles Kantor telling Bloomberg News the company is working towardfull-AGI.

However, some experts question AIs ability to think like humans. Among them isAkli Adjaoute, who has spent 30 years in the AI field and recently authored the book Inside AI.

Rather than speculating about whether the technology willthink and reason, he views AIs role as an effective tool, stressing the importance of understanding AIs roots in data and its limitations in replicating human intelligence.

AI does not have theability to understandthe way that humans understand, Adjaoute told PYMNTS CEO Karen Webster.

It follows patterns. As humans, we look for patterns. For example, when I recognize the number 8, I dont see two circles. I see one. I dont need any extra power or cognition. Thats what AI is based on. Its the recognition of algorithms and thats why theyre designed for specific tasks.

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Artificial intelligence town halls? House committee weighs new approach before writing AI rules – Washington Times

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The House Homeland Security Committee may host town hall meetings for lawmakers on artificial intelligence and could bring in tech experts to help lawmakers better understand rapidly evolving technology before writing rules to govern it.

During a Wednesday hearing focused on how AI can be used to secure and defend the U.S., lawmakers acknowledged a new format may help them get their arms around a deeply complex set of issues.

What I may do is have a town hall type thing, where were the town hall and theyre on the [dais] and were just asking questions, Rep. Mark Green, Homeland Security Committee chairman and Tennessee Republican, said during Wednesdays hearing. I think that would be more informative. And maybe some presentations, so to speak, on data poisoning for AI and all that kind of stuff.

The town hall format would be familiar to tech experts who frequently field requests from Capitol Hill. Senate Majority Leader Charles E. Schumer convened AI insight forums starting last year. The New York Democrat also worked with a group of three other lawmakers to develop comprehensive AI legislation.

Mr. Schumers closed-door forums attracted top tech minds such as Elon Musk, Bill Gates, Metas Mark Zuckerberg and Googles Sundar Pichai, and theevents gave senators a chance to ask questions without the usual time constraints of formal Capitol Hill hearings.

But the forums also had their share of detractors.

SEE ALSO: Seoul AI summit aims to fill regulatory vacuum, but critics say voluntary pledges fall short

Sen. Josh Hawley, Missouri Republican, criticized the forums as a giant cocktail party for Big Tech. At the same time, Democratic-led committees in the Senate did not appear thrilled about the potential for Mr. Schumers effort to encroach on legislation under their jurisdiction.

After the Senate events, Mr. Schumers group last week produced an AI roadmap. It didnot propose specific legislation, but did call for at least $32 billion more spending on tech research and development.

The House Homeland Security Committees purview is more narrow and fixated on threats involving cybersecurity, infrastructure, and Americas physical borders, among other things.

In the absence of congressional rules, President Biden is implementing an AI executive order that includes guidance for federal agencies.

Mr. Biden has also dispatched administration officials to meet with foreign governments on AI rules, including a first meeting with Chinas government in Geneva last week.

Europe is pressing ahead with new AI rules. In March, the European Parliament approved the EU AI Act, which bans various AI applications such as emotion recognition and scraping of facial images.

EU states gave additional agreement to the law this week, which the Council of the EU portrayed on Tuesday as the final green light on the new AI rules.

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Waiting for Alexa: When Will Amazon Strike Up the AI Conversation? – PYMNTS.com

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Someday and it may be soon conversations withAmazonsautomated voice assistantAlexamay cost money. Amazon has been clear about its intentions to charge a subscription for a tiered Alexa service since last September.Butimprovements to voice technology driven by artificial intelligence (AI) may force the issue.

Asan Amazon spokesperson confirmed to PYMNTS Wednesday (May 22), that integrating generative AI into Alexa is in development,and was mentioned by CEO Andy Jassy in his most recentshareholder letterin which he referenced AI as part ofdozensof potential applicationsincludinganeven more intelligent and capable Alexa.Other company executives past and present have been on the record about the improvements AI can bring to the technology as well asthe costs it will add to production.

But before we would start charging customers for this and I believe we will it has to be remarkable,David Limp, the former Amazon executive in charge ofAlexa,toldBloombergin September 2023.It has to prove the utility thatyourecoming to expect from thesuperhumanassistant. I can paint a line from whereweregoing to be right now, whichwerenot going to charge for, to something that will have so much utility for everymember of the household. Wedonthave an idea of a price yet.Welltalk to customers and learn fromthem,what they believe the value is.

When will that happen? Morerecent reportsput the debut of Alexa Plus by the end of the year, but there is no more specific information. The only Alexa application currently under a subscription model isAlexa Together,whichwasdevelopedfor elderly care and connectivity among family caregivers. However, the company recently announced thatit will not be supportedafter June 25.

Using AI to power voice commerce and intelligent conversations was a development predicted by PYMNTS CEO Karen Webster as early as April 2023. In a column she wrote at that time, she predicted that technology would integrate voice and enable commerce from any connected device, positioning voiceto bea dominant means of interactions and transactions.Andshenoted,researchfrom PYMNTS Intelligencethat showed nearly 30% of U.S. consumers at that time would pay a monthly fee to access a voice assistant thatcanhandle complex commands and commerce.Not to mention her predictions about AI.

Artificial intelligencewill make voice interactions smart, personalized, adaptiveandengaging,she wrote.As in truly engaging conversational in every sense of the word. Not just reactive to a wake word and a series of prompts, but proactive and intuitive, anticipating actions based on history and context and anticipating what consumers might want to do next, just like an effective, smart, capable human assistant would do.

According to a September 2023 blogpost,the new Alexa might have been listening. It willbe basedon a new large language model (LLM)thatsbeen custom-built for voice interactions and aimed at getting real-time information, efficient smart home control, and maximizing home entertainment. The postsets outfive foundational capabilities: conversation, real-world utilities like smart home commands, personalization, personalityandtrust.

The emergence of AI, along with sophisticated chatbots and voice functionalities, is transforming the landscape of digital assistants at a time when consumers increasingly rely on technology to manage various daily tasks.

According toPYMNTS Intelligence, consumers devote 26% of their weekdaytimeand 28% of their weekend time to multitasking.While one might typically associate the integration of digital technology with activities like online shopping which accounts for only about a quarter of multitasking time the rest is spentmanaging work-related tasks, home upkeep, and staying in touch with family members, among others.

In the April 2023 study titled How Consumers Want to Live in the Voice Economy,PYMNTS Intelligence discovered that consumers are eager to streamline their daily routines usingsmart, simple and more interconnected solutions. Hands-free voice technologies are increasingly popular for tasks such asretrieving information, voice identification, or booking flights. On average, consumers engaged in six different tasks using voice technology over the past year.

The data also highlights a growing preference for voice-driven interfaces, with 54% of surveyed consumers indicating they would choose voice technology in the future for its speed over traditional typing or touch interactions.

For all PYMNTS AI coverage, subscribe to the daily AINewsletter.

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Inventing AI: Tracing the diffusion of artificial intelligence with U.S. patents – United States Patent and Trademark Office

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This report finds that AI is diffusing broadly across technologies, inventor-patentees, companies, and U.S. geography.

October 2020 Read IP Data Highlight 5 Supplementary material

Technology diffusion is the spread and adoption of a new technology by inventors, companies, and other innovators. Technologies that diffuse broadly have potentially large effects on innovation, productivity, and economic growth. For example, steam power, electricity, and information technology greatly enhanced the volume, as well as the variety, of goods produced within the economy.

The figure below shows that the percentage of U.S. organizations (green line) and inventors (dashed blue line) that patent in AI increased from under 5% in 1980, to just over 20% in 2018. This is remarkable growth and shows that AI is increasingly important to U.S. invention.

Image

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BBVA steps up its plans in artificial intelligence by signing an agreement with OpenAI – BBVA

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With this latest agreement, BBVA is once again ahead of the curve when it comes to embracing disruptive technologies that will impact the financial industry. Notably, it is the first European bank to forge an alliance with OpenAI, which will share its knowledge and unlock the full potential of the new tool at the bank.

In the past two years, BBVA added 7,187 professionals in the data and technology field to its workforce - a figure it plans to increase in 2024 with 2,700 new hires. Of this amount, 1,225 will take place in Spain for the banks headquarters in Madrid, Bilbao and Barcelona. Technology talent has become a key aspect of the Groups digital strategy.

BBVA has already begun deploying 3,000 ChatGPT Enterprise licenses among Group employees in a bid to increase productivity and process efficiency, while stimulating innovation across the Group. The enterprise version of ChatGPT delivers the utmost security and privacy, combined with its unique ability to generate content or answer complex business questions, among numerous other features.

OpenAI has also agreed to deliver training and provide the latest updates for its large language models (LLMs), the technology on which ChatGPT is built. By working in close partnership with OpenAI, BBVA will drive forward the most successful use cases for the banks business and processes.

Data and technology are the key levers of transformation at BBVA, which for over a decade has been running specific development centers for advanced analytics and artificial intelligence, now known as AI Factories, in Spain, Mexico and Trkiye. In addition to these teams, there are also analysts and data specialists working across all the business areas, giving a total of more than 5,000 employees, of whom 1,000 or so are data scientists. The entire team works to unlock the value of data and AI with a view to improving business decision-making and helping create various kinds of products, such as solutions to improve the financial health of customers or aid them in their climate transition.

The recent agreement with OpenAI is a further example of BBVAs ongoing commitment to generative AI as a key differentiating aspect in the value proposition it offers its customers. New artificial intelligence tools are going to have a disruptive impact on society as a whole and on the financial industry in particular. At BBVA, we want to further promote our role as pioneers when it comes to innovating in financial services and we are therefore firmly committed to exploring the potential of this technology. We believe that generative AI, when used safely and responsibly, is a game-changer in how we support our customers in their decisions and offer personalized services. It also happens to stimulate creativity among our employees, explains Ricardo Martn Manjn, Global Head of Data at BBVA.

OpenAI COO Brad Lightcap added: "Were excited to partner with BBVA, one of Europe's top banks, to deliver the capabilities of ChatGPT Enterprise at scale. AI streamlines mundane tasks, boosting creativity, efficiency, and productivity.

The bank is already handing out licenses at its central services in Spain, and this process will continue in the Groups other main countries. Compulsory training will be delivered for each account set up. The aim is for all areas and departments to have access to ChatGPT, so that licensed employees can collaborate with their colleagues in undertaking various projects. In tandem, BBVA will be collecting feedback and suggestions from these users through a multi-country community, with the aim of flagging the most outstanding use cases and sharing best practices.

We see this first foray into the use of ChatGPT Enterprise as an opportunity to validate the extent to which these tools can genuinely boost our productivity, thus transforming the way we all work within the bank, explains Elena Alfaro, the new Head of AI Adoption at BBVA, whose role is to mainstream this technology across the Group. We are aiming to enhance the capabilities of our employees, not to replace them, she says.

Alfaro also remarks that while ChatGPT Enterprise is certainly a major strategic commitment, it will not be the only solution to be used within the organization. BBVA is continuing to evaluate other tools that may prove viable for the more than 100 use cases to be rolled out over the course of 2024.

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Study including WVU and Marshall analyzes cyber threats to Artificial Intelligence systems – West Virginia MetroNews

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MORGANTOWN, W.Va. Researchers from West Virginia University, Marshall University, and Florida International University are exploring the cybersecurity needs of artificial intelligence technologies with a $1.75 million grant from the Defense Advanced Research Projects Agency (DARPA).

Professor and Chairman of the Statler College of Engineering and Mineral Resources in the Lane Department of Computer Science and Electrical Engineering, Anurag Srivastava, said the AI-CRAFT project is intended to develop ways to secure the emerging technology. Artificial intelligence is developing rapidly and being pushed into larger real-time applications.

Our goal is to look at what those are, and how do I defend myself if someone is trying to hack into or make the AI behave in a way it is not supposed to behave? Srivastava said.

The teams are building the artificial intelligence systems while engineering security and safety as they are deployed. The complexity results from the evolution from simple calculation systems used a decade ago to the addition of millions of data points as AI systems are taught to think like the human brain.

Look at this from a new point of view now; what is the attack vector now? Srivastava asked. Can someone reverse engineer the AI? Can someone poison the AI so it behaves in a way it should not?

AI technologies have quickly grown from application in autonomous cars to use in very lifelike robots and vital systems like public utilities. The research also includes developing secure data practices, access controls, and continuous monitoring to assess the security and usefulness of AI systems.

Especially those that will be used to operate critical systems like robots or the power grid, Srivastava said.

On the academic side, students will have many hands-on opportunities in labs and training platforms, designed to equip students with the skills and knowledge needed to thrive in a rapidly evolving cybersecurity industry.

Other than solving this problem for complex systems like a power grid, robotics, or autonomous cars, our goal is also to teach it because this is also a new topic, Srivastava said.

Officials from WVU, Marshall University, and the U.S. Department of Defense will break ground on the new Institute for Cyber Security in Huntington on May 17.

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Roger Fortson’s Death Shows the Conflict Between Gun Rights and Paranoid Cops – Reason

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Hundreds of Air Force service members in dress blue uniforms filed into a Georgia megachurch Friday for the funeral of Roger Fortson, 23, a senior airman who was shot and killed by an Okaloosa County sheriff's deputy earlier this month after he answered the door to his apartment holding a gun at his side.

Fortson's dramatic funeral, which included a video message from Rev. Al Sharpton, was a stark reminder of the deadly incoherence between America's Second Amendment culture and hypervigilant police training and tactics.

Fortson was fatally shot on May 3 after sheriff's deputies arrived at his apartment complex in Fort Walton Beach, Florida, responding to a call about an alleged domestic disturbance.

Body camera footage released by the Okaloosa County Sheriff's Office shows the deputy knocked on Fortson's door and announced himself several times. Fortson eventually opened the door, holding a handgun at his side. The officer said "step back" and began firing. Fortson only had time to raise his empty hand, palm outward. Three to four seconds elapsed between Fortson opening the door and the deputy firing six rounds at him.

Ben Crump, a prominent civil rights attorney who is representing Fortson's family, said in a recent press conference that police went to the wrong door. A radio dispatcher told deputies that the call was "fourth-party information from the front desk at the leasing office," and body camera footage showed an unidentified woman telling deputies she was "not sure" which door the disturbance came from before directing them to Fortson's apartment. Fortson's family says he legally owned the gun, had no criminal record, and was home alone at the time of the incident.

"We've got to call it as it isRoger died of murder," Rev. Jamal Bryant said at Fortson's funeral. "He died of stone-cold murder. And somebody has got to be held accountable. Roger was better to America than America was to Roger."

The Okaloosa County Sheriff's Office initially framed the fatal shooting as self-defense.

"Hearing sounds of a disturbance, he reacted in self defense after he encountered a 23-year old man armed with a gun and after the deputy had identified himself as law enforcement," a May 4 statement from the Okaloosa County Sheriff's Office read.

The two narratives illustrate a problem Reason has written about time and time again: The government insists that its citizens have a Second Amendment right to own guns and defend their homes with them, but it also insists that it's reasonable for police to respond with deadly force when they're startled by the sight of a gun, or what could be a gun but might be a harmless object, or the knowledge that a gun is nearby, as in the case of Philando Castile.

Last year police in Farmington, New Mexico, fatally shot a man while responding to a domestic disturbance call at the wrong house, after the man showed up at the door holding a gun.

In 2022, Florida resident Corey Marioneaux Jr. was charged with attempted murder of a police officer for shooting a gun at SWAT team officers who had just broken through his front door with a battering ram at 5 a.m. The charges against Marioneaux were later dropped, and an internal review found no wrongdoing on the part of the police eithera simple misunderstanding that could have killed someone.

That same year, a Minneapolis Police Department officer shot and killed 22-year-old Amir Locke during the execution of a no-knock raid. Locke, who was not named in the search warrant, appeared to be asleep under a blanket on a couch. As police entered the room, he put his hand on the barrel of a handgun, and an officer shot him three times.

In 2006, former Reason writer Radley Balko detailed the case of Cory Maye, a Mississippi man sentenced to death for fatally shooting a police officer during a no-knock drug raid.

Republican Florida Gov. Ron DeSantis relentlessly brags about "Free Florida," a supposed refuge from liberal busybodies, where things like owning a gun and not eating vat-grown meat are sacred. The title of his book was in fact The Courage to Be Free. But DeSantis has no courage when it comes to the police. His only priority is giving law enforcement more privileges and insulation from civilian accountability.

Roger Fortson lived in this very same Florida. Now his name will be added to the long list of people who were killed for doing something they were assured was their right as free citizens of the United States.

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How the SCOTUS Ghost Gun Case Might Jeopardize Other Gun Laws – The Trace

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In April, the U.S. Supreme Court agreed to take up a case challenging the Biden administrations efforts to curb the sale of homemade, untraceable ghost guns that are frequently used in crimes.

The case seeks to topple a rule imposed by the Bureau of Alcohol, Tobacco, Firearms and Explosives that requires sellers of ready to build ghost gun kits to add serial numbers to some parts and conduct background checks on prospective buyers.

But legal experts say the stakes are much higher. A ruling against the federal government could broaden Second Amendment protections, jeopardizing numerous laws governing the manufacture and sale of firearms.

The Supreme Court may want to expand Second Amendment protections from the right to own and carry a firearm to the right to make firearms and to sell them, said Timothy Lytton, a law professor at Georgia State University.

Such an outcome could do away with bans or restrictions on ghost guns in California, New Jersey, and at least 11 other states. The ruling could also pave the way for lower courts to overturn requirements for gun manufacturers and dealers to obtain federal licenses, be inspected by the government, and maintain sales records.

A federal district court in Texas and the Fifth Circuit Court of Appeals struck down the ghost gun rule in 2023. Lytton said these lower court opinions wrestled with more sweeping questions about the limits of the Second Amendment, teeing up the justices to do the same. Those opinions, he said, may have larger implications for the Supreme Courts analysis, and that may be Second Amendment implications.

The challenge comes two years after the Supreme Courts landmark Bruen ruling, which established that gun regulations must be consistent with the countrys historical tradition of firearm regulations to be considered constitutional. In court filings concerning the ghost guns rule, gun manufacturers and gun rights organizations have seized on Bruens history and tradition test by arguing that early Americans often acquired firearms through homemade means.

President Biden directed the ATF to regulate ghost guns after they were used in a spate of high-profile shootings and increasing evidence emerged that homemade weapons were being used in crimes. A March 2023 ATF report found that between 2016 and 2022, law enforcement recovered more than 72,000 ghost guns. More than 1,200 of those weapons surfaced in connection to homicides and attempted homicides.

Ghost guns continue to be a problem, said Graham Barlowe, a former ATF agent, pointing out that millions of ghost guns sold before the new rule took effect remain in circulation. Criminal elements seek out ghost guns because they are available, and they are anonymous.

The ATFs ghost gun rule, implemented in 2022, broadened the legal definition of a firearm to include kits sold with parts and tools to build ghost guns. That requires sellers of these kits to obtain a federal gun dealers license and add serial numbers to some parts before sale so that they can be traced back to their owners if they turn up at a crime scene.

Legal experts say the challenge is part of a broader conservative legal movement to limit the scope and scale of the federal governments powers, and it is one of at least four cases in front of the justices that could have major ramifications for how guns are regulated in the United States.

John Donohue, a Stanford law professor and gun policy expert, said the ghost gun rule has gone a long way toward curtailing the illicit use of unserialized weapons, but he worries the justices will determine that the ATF overstepped its authority.

As a matter of policy, I think its an unassailable, correct policy, Donohue said about the rule.The only question is whether it has been done in a way that allows the Supreme Court to throw a monkey wrench in the process.

The Supreme Court is expected to hear arguments in the case in the fall.

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The neutrino’s quantum fuzziness is beginning to come into focus – Science News Magazine

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Neutrinos are known for funny business. Now scientists have set a new limit on a quantum trait responsible for the subatomic particles quirkiness: uncertainty.

The lightweight particles morph from one variety of neutrino to another as they travel, a strange phenomenon calledneutrino oscillation(SN: 10/6/15). That ability rests on quantum uncertainty, a sort of fuzziness intrinsic to the properties of quantum objects, such as their location or momentum. But despite the importance of quantum uncertainty, the uncertainty in the neutrinos position has never been directly measured.

The quantum properties of the neutrino stuff is a little bit of the Wild West at the moment, says nuclear physicist Kyle Leach of Colorado School of Mines in Golden. Were still trying to figure it out.

Its impossible to know everything about a quantum particle.Heisenbergs uncertainty principlefamously states that its futile to attempt to precisely determine both the momentum of a quantum object and its position (SN: 1/12/22). Now, Leach and colleagues report new details about the size of the neutrinos wave packet, which indicates the uncertainty in the particles position.

Quantum particles travel as waves, with ripples that are related to the probability of finding a particle at a given location. A wave packet is the set of ripples corresponding to a single particle. The new experimentsets a limit on the size of the wave packetfor neutrinos produced in a particular type of radioactive decay, Leachs team reports in a paper submitted April 3 to arXiv.org. The particles have a wave packet size of at least 6.2 trillionths of a meter.

The researchers studied neutrinos produced in the decay of beryllium-7, via a process called electron capture. In this process, a beryllium-7 nucleus absorbs an electron, and the atom transforms into lithium-7 and spits out a neutrino.

The team implanted beryllium-7 atoms in a highly sensitive device made from five layers of material, including superconducting tantalum, which can transmit electricity without resistance. In the decay, the newly produced lithium-7 recoils away from the neutrino. When cooled to 0.1 degrees above absolute zero (273.05 Celsius), the device allowed the researchers to detect the energy of that recoil. The spread in the energy of the lithium atoms revealed the neutrino wave packets minimum size.

Neutrinos are special in that they interact so rarely with matter that they maintain their quantum properties over long distances. Most quantum effects take place on very small scales, but neutrino oscillations occur over thousands of kilometers.

So studying the size of neutrinos wave packets could help unveil the connection between the everyday world of classical physics and the strangeness of quantum physics, says Benjamin Jones, a neutrino physicist at the University of Texas at Arlington who was not involved with the experiment. If you can predict something like this and then measure it, then you really validate some of the ideas that people have about how the classical world emerges from an underlying quantum reality, he says. And thats what really got me excited about this in the first place.

In another study, submitted April 30 to arXiv.org, Jones and his colleaguestheoretically predicted the size of the neutrino wave packet, pegging it at about 2.7 billionths of a meter. Now its up to experimental physicists to try to measure it, not just determine its minimum size.

Measuring the size of neutrinos wave packets might help resolve discrepancies among past experiments, and potentially point the way to new types of subatomic particles still to be discovered. But the size of the neutrinos wave packet depends on how the particle is produced. So its not clear how the size limit observed in Leachs study might translate to neutrinos produced by other means, says neutrino physicist Carlos Argelles of Harvard University. For example, many experiments observe neutrinos from nuclear reactors, but those are produced via a different type of radioactive decay.

Still, Argelles says, the study of the neutrino wave packet has fundamental implications in the quantumness of the neutrino, and the quantumness of the neutrino is actually what makes neutrinos interesting. Its the most unique property that they have.

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Unlocking the Quantum Code: International Team Cracks a Long-Standing Physics Problem – SciTechDaily

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Researchers have developed a new method called wavefunction matching to tackle the sign problem in Monte Carlo simulations, a common issue in quantum many-body physics. By simplifying the interaction model and using perturbation theory for corrections, this method has proven effective in accurately calculating nuclear properties like mass and radius. It holds promise for broader applications in quantum computing and other fields. Credit: Prof. Serdar Elhatisari

Strongly interacting systems are crucial in the fields of quantum physics and quantum chemistry. Monte Carlo simulations, a type of stochastic method, are widely used to study these systems. However, they face challenges when dealing with sign oscillations. An international team of researchers from Germany, Turkey, the USA, China, South Korea, and France has addressed this issue by developing a new technique called wavefunction matching.

As an example, the masses and radii of all nuclei up to mass number 50 were calculated using this method. The results agree with the measurements, the researchers now report in the journal Nature.

All matter on Earth consists of tiny particles known as atoms. Each atom contains even smaller particles: protons, neutrons, and electrons. Each of these particles follows the rules of quantum mechanics. Quantum mechanics forms the basis of quantum many-body theory, which describes systems with many particles, such as atomic nuclei.

One class of methods used by nuclear physicists to study atomic nuclei is the ab initio approach. It describes complex systems by starting from a description of their elementary components and their interactions. In the case of nuclear physics, the elementary components are protons and neutrons. Some key questions that ab initio calculations can help answer are the binding energies and properties of atomic nuclei and the link between nuclear structure and the underlying interactions between protons and neutrons.

However, these ab initio methods have difficulties in performing reliable calculations for systems with complex interactions. One of these methods is quantum Monte Carlo simulations. Here, quantities are calculated using random or stochastic processes. Although quantum Monte Carlo simulations can be efficient and powerful, they have a significant weakness: the sign problem. It arises in processes with positive and negative weights, which cancel each other. This cancellation leads to inaccurate final predictions.

A new approach, known as wavefunction matching, is intended to help solve such calculation problems for ab initio methods. This problem is solved by the new method of wavefunction matching by mapping the complicated problem in a first approximation to a simple model system that does not have such sign oscillations and then treating the differences in perturbation theory, says Prof. Ulf-G. Meiner from the Helmholtz Institute for Radiation and Nuclear Physics at the University of Bonn and from the Institute of Nuclear Physics and the Center for Advanced Simulation and Analytics at Forschungszentrum Jlich.

As an example, the masses and radii of all nuclei up to mass number 50 were calculated and the results agree with the measurements, reports Meiner, who is also a member of the Transdisciplinary Research Areas Modeling and Matter at the University of Bonn.

In quantum many-body theory, we are often faced with the situation that we can perform calculations using a simple approximate interaction, but realistic high-fidelity interactions cause severe computational problems, says Dean Lee, Professor of Physics from the Facility for Rare Istope Beams and Department of Physics and Astronomy (FRIB) at Michigan State University and head of the Department of Theoretical Nuclear Sciences.

Wavefunction matching solves this problem by removing the short-distance part of the high-fidelity interaction and replacing it with the short-distance part of an easily calculable interaction. This transformation is done in a way that preserves all the important properties of the original realistic interaction. Since the new wavefunctions are similar to those of the easily computable interaction, the researchers can now perform calculations with the easily computable interaction and apply a standard procedure for handling small corrections called perturbation theory.

The research team applied this new method to lattice quantum Monte Carlo simulations for light nuclei, medium-mass nuclei, neutron matter, and nuclear matter. Using precise ab initio calculations, the results closely matched real-world data on nuclear properties such as size, structure, and binding energy. Calculations that were once impossible due to the sign problem can now be performed with wavefunction matching.

While the research team focused exclusively on quantum Monte Carlo simulations, wavefunction matching should be useful for many different ab initio approaches. This method can be used in both classical computing and quantum computing, for example, to better predict the properties of so-called topological materials, which are important for quantum computing, says Meiner.

Reference: Wavefunction matching for solving quantum many-body problems by Serdar Elhatisari, Lukas Bovermann, Yuan-Zhuo Ma, Evgeny Epelbaum, Dillon Frame, Fabian Hildenbrand, Myungkuk Kim, Youngman Kim, Hermann Krebs, Timo A. Lhde, Dean Lee, Ning Li, Bing-Nan Lu, Ulf-G. Meiner, Gautam Rupak, Shihang Shen, Young-Ho Song and Gianluca Stellin, 15 May 2024, Nature. DOI: 10.1038/s41586-024-07422-z

The first author is Prof. Dr. Serdar Elhatisari, who worked for two years as a Fellow in Prof. Meiners ERC Advanced Grant EXOTIC. According to Meiner, a large part of the work was carried out during this time. Part of the computing time on supercomputers at Forschungszentrum Jlich was provided by the IAS-4 institute, which Meiner heads.

The first author, Prof. Dr. Serdar Elhatisari, comes from the University of Bonn and Gaziantep Islam Science and Technology University (Turkey). Significant contributions were also made at Michigan State University. Other participants include Ruhr University Bochum, South China Normal University (China), the Institute for Basic Science in Daejeon (South Korea), Sun Yat-Sen University in Guangzhou (China), the Graduate School of China Academy of Engineering Physics in Beijing (China), Mississippi State University (USA) and Universit Paris-Saclay (France). The study was funded by the U.S. Department of Energy, the U.S. National Science Foundation, the German Research Foundation, the National Natural Science Foundation of China, the Chinese Academy of Sciences Presidents International Fellowship Initiative, the Volkswagen Foundation, the European Research Council, the Scientific and Technological Research Council of Turkey, the National Security Academic Fund, the Rare Isotope Science Project of the Institute for Basic Science, the National Research Foundation of Korea, the Institute for Basic Science and the Espace de Structure et de reactions Nucleaires Theorique.

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Unlocking the Quantum Code: International Team Cracks a Long-Standing Physics Problem - SciTechDaily

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