IQM Quantum Computers announced that it has acquired selected assets of Quantistry GmbH. Quantistry is a Berlin-based developer of a cloud-native simulation workflow platform for automotive, aerospace, chemical, materials, and pharmaceutical industries. The acquired assets include proprietary software applications, algorithms, and intellectual property. IQM will also retain Quantistry’s core technical, quantum chemistry, and software engineering talent to support continuity and platform integration. The transaction was completed recently in connection with IQM’s business combination with Real Asset Acquisition Corp. That transaction made IQM the first publicly listed European quantum computer company on Nasdaq. The acquisition integrates Quantistry’s application software platform, algorithm simulation libraries, and machine learning layer with IQM’s quantum hardware infrastructure. IQM said the combination creates a full-stack solution designed to accelerate industrial research and development. Quantistry’s technology is designed to support use cases across automotive, aerospace, chemicals, materials science, and pharmaceuticals. Its platform combines quantum mechanics, chemical simulations, high-performance computing, machine learning, and AI. A key differentiator of Quantistry’s technology is its proprietary machine learning and AI layer. The platform enables users without deep quantum computing or chemical simulation expertise to create and simulate chemical compounds with accuracy on demand. The framework automatically determines efficient computational pathways. It can route complex workflows across classical high-performance computing infrastructure, native AI computing environments, and quantum backends. IQM said Quantistry’s software will connect directly to its quantum computers. This will allow industrial clients to build proofs of concept inside the IQM ecosystem and scale them as the hardware improves without switching platforms or starting over. The acquisition also gives IQM an opportunity to engage with Quantistry’s roster of industrial enterprise customers. IQM plans to transition and expand those relationships under its brand while offering customers a continuum of classical simulation, AI-driven optimization, and quantum acceleration. IQM Quantum Computers is a full-stack superconducting
Jul 8, 2026 · via pulse2.com
Christian Weedbrook, founder and CEO of Toronto-based quantum computing firm Xanadu, visited the White House on Tuesday to attend the US government’s quantum summit. The news: Weedbrook shared the news in an X post. He told BetaKit over email that the event brought together American quantum CEOs and senior US government officials working on related policy. The group discussed the US’ new 2028 goal, bolstering supply chains, expanding the workforce, and unresolved technical challenges. Weedbrook said the event focused on how the public and private sector can work together to advance quantum tech, and explored how companies can support US government research and development, like a key military-backed quantum research program in which Xanadu is participating. From the source: Weedbrook described the US as “a critical hub,” noting Xanadu has worked with a wide range of US government agencies since its early days and has core manufacturing partners and dozens of employees there. While “Xanadu is proudly Canadian … we always think globally,” he said. The CEO also claimed Xanadu was the lone Canadian quantum computing firm in attendance, but could not speak to whether others were invited. BetaKit has reached out to the White House and fellow Canadian quantum computing champions Photonic and Nord Quantique (which are part of the same DARPA initiative as Xanadu) to confirm whether they were also asked. Following the thread: Xanadu and other Canadian quantum firms—including the formerly Canadian D-Wave—have felt pressure to move to the US before, and Xanadu recently went public after having trouble raising the money it wanted from Canadian investors. While Weedbrook is happy with what the Government of Canada’s rival quantum research program has brought to the table thus far, and has repeatedly said he intends to keep Xanadu Canadian under his leadership, recent US industry support, including plans
Jul 8, 2026 · via betakit.com
Intel Sunsets Quantum Intrinsics & Other Open-Source Projects This Week Intel has formally archived some more of their now-unmaintained open-source projects this week. While Intel / Intel Labs continues working on new quantum computing chip research, their open-source software efforts around quantum processors have taken another step back. Back in February Intel archived their Quantum Passes project that was providing additional compiler optimization passes for the Intel Quantum SDK. This week they archived their Quantum Intrinsics open-source project. Intel Quantum Intrinsics provided a C++-based front-end for the Intel Quantum Compiler and went along with their previously-archived Quantum Passes. Intel Quantum Intrinsics is an adaptation of LLVM/Clang. Quantum Intrinsics hasn't been seeing much development in recent times amid restructuring at Intel and now their GitHub repository has been archived. Besides cuts for quantum computing software work, even amid the AI rush they continue sunsetting some AI-related open-source projects too. In prior months they have sunset some AI-related projects like the BigDL time series toolkit and IPEX LLM while now OAP-MLLIB is the latest to be archived. Intel OAP-MLLIB provided optimized Spark packages for accelerating machine learning algorithms with Spark MLlib. OAP-MLLIB leveraged the Intel oneAPI Data Analytics Library "oneDAL" that was since punted off to the UXL Foundation along with the Intel oneAPI Collective Communications Library "oneCCL". The OAP-MLLib targeted both Intel CPU and GPU capabilities. Also let go this week was Intel FastGo. Intel FastGo provided optimized Go programming language packages for different compression algorithms for the speediest Deflate / Zlib / Gzip performance when running on Intel Xeon server processors. While Intel / Intel Labs continues working on new quantum computing chip research, their open-source software efforts around quantum processors have taken another step back. Back in February Intel archived their Quantum Passes project that was providing additional compiler
Jul 8, 2026 · via phoronix.com
A quantum leap forward for qubit encoding DOI: 10.1063/10.0044402 Optical tweezers, which trap ultracold atoms in highly focused laser beams, have emerged as a preferred tool for advancing quantum computing thanks to their connectivity and scalability. In particular, strontium (Sr) boasts a conducive electronic structure that enables extreme precision and allows for effective qubit encoding. But many existing setups typically use 2D magneto-optical traps, which can suffer from limited vacuum isolation and inherent heating. Venderbosch et al. developed an apparatus with a single laser beam and a 5x5 grid of tweezers, each of which holds a single atom, that employs a deflection stage to isolate the hot, 420 C Sr oven from the cold atoms loaded into the grid. “We need cold atoms at micro-Kelvin temperatures because only then is their kinetic energy low enough to stay inside the tweezers,” said author Rianne Lous. The novel setup also features a laser system with fiber optic splitters, multiplexers and acousto-optic modulators, and frequency comb technology to make it as compact as possible. The lasers themselves are ultimately kept stable using a frequency source about 100 kilometers away at the Dutch Metrology Institute, which distributes signals over optical fiber to the laboratory. In addition to providing guidance for the development of new Sr tweezer setups, the innovation will become part of a multi-hardware quantum technology platform that offers users the chance to try out different quantum computers and simulators. “Neutral atom quantum computers are among the fastest growing platforms with record amounts of qubits and competitive coherence times,” said Lous. “The end goal is to make a quantum computer openly accessible to the public by offering a user-friendly platform and a high-level programming language.” Source: “A robust strontium tweezer apparatus for quantum computing,” by Marijn Venderbosch, Rik van Herk, Zhichao Guo, Jeśus
Jul 8, 2026 · via aip.org
The University of Pretoria (UP) has launched a new research hub, UP Quantum Science and Technology (UPQuST), after being designated as a national node under the South African Quantum Technology Initiative (SA QuTI). Backed by South Africa’s national Department of Science, Technology and Innovation (DSTI), the center is established as one of six nationally funded quantum research hubs across the country. The initiative secures a five-year funding allocation aimed at developing localized quantum software infrastructures, training postgraduate workforces, and translating basic physics research into industrial applications. [ UPQuST National Node Framework ] Host Institution ──► University of Pretoria (UP) - Inamori / Science Faculties. National Network ──► South African Quantum Technology Initiative (SA QuTI) 6-node consortium. Core Focus Vectors ──► Quantum computing architectures, quantum sensing, and quantum metrology. Funding Mechanism ──► 5-year programmatic grant via Department of Science, Technology and Innovation.The node’s research portfolio is organized across three foundational domains: quantum computing, quantum sensing, and quantum metrology (the science of ultra-precise measurement). Led by node director Prof. Tjaart Krüger, researchers will work across multidisciplinary tracks spanning physics, chemistry, computer science, and engineering to transition quantum frameworks into field-deployable tools. Rather than engineering localized physical hardware processing units, the computational groups are focusing on algorithm design, optimization modeling, and building software subroutines capable of accelerating data parsing for agriculture, mining, and localized corporate networks. The practical deployment roadmap prioritizes high-impact regional use cases designed to address domestic economic challenges. In agricultural engineering, the node is designing quantum-enhanced sensors to detect crop pathologies before visual degradation occurs, while its metrology teams are modeling subterranean diagnostics to optimize mineral exploration and processing efficiency. Concurrently, the center is investigating software protocols for cybersecurity systems, including quantum-resistant cryptographic infrastructure, deepfake detection algorithms, and advanced ransomware threat-analysis platforms. To support broader human capital development, UPQuST will
Jul 8, 2026 · via quantumcomputingreport.com
MOST POPULAR AI - AI and ML AI is becoming a bargain hunter's market, with a few luxury models on topInference is become a commodity except for frontier models - AI and ML South Korean chip startup FuriosaAI invades European datacentersRNGD accelerators land in Equinix's Lisbon DCs - AI and ML Enterprise AI still smarting from leaping before lookingMajority report AI-related security incidents or vulnerabilities - Science Boffins bet on quantum computers, AI supers to solve fusion fuel dilemmaDepartment of Energy, Cleveland Clinic, and IBM simulate a soup of molten salts and techno babble in pursuit of tritium - AI and ML Software engineers can still rake in big bucks by working for fast-growing companiesAI's impact on tech business is complicated Infosec - Security Russians are posing as Signal support to launch phishing attacksPLUS: US takes down Iranian propaganda sites; Marketing company asks 'Why Do We Have Your Information?' And more! - Security Microsoft patches failed to fix on-prem SharePoint, which is now under zero-day attackPLUS: China upgrades smartphone surveillance tools; Ring eases anti-snooping stance; and more - Black Hat and DEF CON DEF CON Franklin project enlists hackers to harden critical infrastructureVoting village reports have been so successful, says Jeff Moss, that the whole of DEF CON will now be included - Security EQT buys majority share in Swiss cybersecurity biz AcronisWent at equivalent of $3.5B+ valuation for entire firm, though portion sold not specified - Malware Month Ten years since the first corp ransomware, Mikko Hyppönen sees no end in sightOn the plus side, infosec's a good bet for a long, stable career FOSS - Collabora releases CODE 26.04 as rivalry between FOSS cloudy office suites heats upNow with Markdown support and smarter formula error handling – plus integrated AI, though it's off by default - Blast from
Jul 8, 2026 · via theregister.com
About
Press
Copyright
Contact us
Creators
Advertise
Developers
Terms
Privacy
Policy & Safety
How YouTube works
Test new features
NFL Sunday Ticket
© 2026 Google LLC
Jul 8, 2026 · via youtube.com
Latest News
Oak Ridge National Lab, Cleveland Clinic, and IBM Achieve First-Known Computations of Fusion Materials on a Quantum Computer
July 06, 2026
A team of scientists from Oak Ridge National Laboratory (ORNL), Cleveland Clinic, and IBM (NYSE: IBM), have calculated nine molecular configurations of a promising material to produce fuel for fusion energy – the first-known instance of such computations on quantum computers.
Jul 8, 2026 · via newsroom.ibm.com
D-Wave Quantum (NYSE: QBTS) to Receive $1.5M Grant Through NSF Project to Strengthen US Quantum Computing Leadership Austin, Texas, July 7th, 2026, FinanceWire D-Wave Quantum Inc. (NYSE: QBTS) (“D-Wave” or the “Company”), the only dual-platform quantum computing company providing both annealing and gate-model systems, software and services, announced it has been selected to receive a $1,566,250 grant from the U.S. National Science Foundation (NSF) through the agency’s National Quantum Virtual Laboratory (NQVL) program. The funding will support D-Wave’s role as a key industry partner in ERASE (Erasure Qubits and Dynamic Circuits for Quantum Advantage) – a project focused on developing foundational technologies for fault-tolerant quantum computing and strengthening U.S. leadership in quantum innovation. Led by Yale University, the ERASE project brings together researchers from leading academic institutions and industry organizations to advance dual-rail gate-model quantum computing hardware, software, error correction, and applications. D-Wave, through its New-Haven, Connecticut-based subsidiary Quantum Circuits, LLC, will give ERASE researchers access to its superconducting dual-rail gate-model quantum computing resources. The award moves ERASE into the second phase of the NQVL program and underscores the NSF’s continued support for the project’s approach to scalable, fault-tolerant quantum computing. “NSF’s continued support for the ERASE project highlights the national importance of accelerating progress toward scalable, fault-tolerant quantum computing,” said Dr. Alan Baratz, CEO of D-Wave. “We believe that D-Wave’s dual-rail technology can play a meaningful role in that effort, while building the technical foundation and skilled workforce needed to sustain U.S. leadership in quantum computing.” To view the full press release, visit https://ibn.fm/5um9O About D-Wave Quantum Inc. D-Wave is a leader in the development and delivery of quantum computing systems, software, and services. It is the world’s first commercial supplier of quantum computers, and the first and only to offer dual-platform quantum computing products and services, spanning both
Jul 7, 2026 · via webdisclosure.com
Alfred University, the New York State College of Ceramics, and quantum development firm Classiq have announced a joint quantum computing initiative designed to integrate functional hardware-portable software modeling into engineering curricula and energy systems research. The academic collaboration deploys Classiq’s high-level synthesis platform to bypass manual, gate-level quantum circuit construction, allowing students and researchers to engineer functional algorithms without deep low-level compilation skills. The curriculum expansion is intended to support workforce development and applied energy optimization models across the State University of New York (SUNY) network. [ Alfred University - Classiq Framework ] Software Engine ──► Classiq high-level functional synthesis platform using agentic compilation workflows. Research Focus ──► Power system unit commitment optimization and ceramic/glass materials discovery. Academic Integration──► Inamori School of Engineering curricula, expanding across CUNY and SUNY networks. The instructional integration is led by Junpeng Zhan, Assistant Professor of Renewable Energy Engineering at the Inamori School of Engineering, who has embedded the platform into active courses. Zhan’s core research focuses on power systems optimization, specifically the “unit commitment problem”—a multi-variable calculation where electric grid operators determine the most cost-effective generation schedules to meet fluctuating regional energy demands. The joint initiative builds upon Zhan’s previous National Science Foundation (NSF)-funded computational grants and a 2024 collaborative research program with the Rochester Institute of Technology and ISO-New England to explore quantum optimization paths for wholesale electrical grids. Concurrently, the initiative expands into solid-state physics and advanced materials modeling under S. K. Sundaram, Inamori Professor of Materials Science and Engineering. This branch of the program explores quantum algorithm implementations to model molecular configurations and evaluate structural tolerances in advanced ceramics, glass, and manufacturing components. Looking forward, Alfred University and Classiq are formulating educational extensions focused on AI-assisted quantum design alongside a multi-institution grant proposal. This upcoming submission aims to scale quantum computing
Jul 7, 2026 · via quantumcomputingreport.com
Why IonQ (IONQ) Stock Is Nosediving Kayode Omotosho / July 7, 2026 What Happened? Shares of quantum computing company IonQ (NYSE:IONQ) fell 7.1% in the afternoon session after investor caution grew around the quantum computing sector amid high valuations and the emergence of a new competitor. The decline extended a period of weakening sentiment, as several quantum computing stocks, including IonQ, experienced significant drawdowns in the previous month. Some market commentary pointed to the sector's "extreme price-to-sales multiples," describing these stocks as highly speculative investments. Adding to the pressure, European firm IQM Quantum Computers began trading on the Nasdaq. This public listing provides investors with a new option to gain exposure to the quantum computing space, increasing competition for investment capital. The stock market overreacts to news, and big price drops can present good opportunities to buy high-quality stocks. Is now the time to buy IonQ? Access our full analysis report here, itâs free. What Is The Market Telling Us IonQâs shares are extremely volatile and have had 77 moves greater than 5% over the last year. In that context, todayâs move indicates the market considers this news meaningful but not something that would fundamentally change its perception of the business. The previous big move we wrote about was 15 days ago when the stock gained 4.6% on the news that analyst firm Northland boosted its price target on the stock while traders purchased bullish call options. Northland raised its price target on IonQ to $70 from $55 and maintained an Outperform rating on the shares. The analyst cited confidence that the company's upcoming investor day on September 8 will demonstrate its leadership in achieving "Broad Quantum Advantage." Sentiment was also boosted by heavy trading in call options, which are bets that a stock's price will rise. This activity signals
Jul 7, 2026 · via stockstory.org
About
Press
Copyright
Contact us
Creators
Advertise
Developers
Terms
Privacy
Policy & Safety
How YouTube works
Test new features
NFL Sunday Ticket
© 2026 Google LLC
Jul 7, 2026 · via youtube.com
“So, he’s the Beyoncé of this event?” a young woman standing behind me says to a colleague. The three of us are standing, looking at the back of a crowd, whose members are all looking at a bearded man in an orange sweater. Getting a look at him is like trying to see the Mona Lisa – only fleeting glimpses are possible. “His algorithm is the algorithm that will break everything,” the colleague says, as I briefly catch sight of people posing for selfies and getting their conference badges signed. I’m at the Quantum.Tech World conference in Boston, and Peter Shor is the star attraction. Shor is one of the most influential researchers in the history of quantum computing, and it all comes down to his creation, known as Shor’s algorithm. In the 1990s, Shor was a researcher at Bell Labs in New Jersey. Quantum computers were a somewhat obscure research topic, barely on his radar, until he attended a seminar by the quantum computing pioneer Umesh Vazirani. There, he heard about a problem that quantum computers could solve better than any conventional computer. The problem was extremely contrived, so Shor wondered whether there was something more practical that quantum computers could be good at, too. Over the course of about six months, culminating in the spring of 1994, he not only identified such a problem – the factoring of very large numbers – but he also developed a recipe that a quantum computer could follow to solve it. Shor’s algorithm, the one that could “break everything”, was born. It quickly became recognised as an outstanding contribution to the field and gave researchers an urgent reason to actually build quantum computers. Most modern encryption relies on the mathematical task of factoring very large numbers. As long as computers struggle with
Jul 7, 2026 · via newscientist.com
About
Press
Copyright
Contact us
Creators
Advertise
Developers
Terms
Privacy
Policy & Safety
How YouTube works
Test new features
NFL Sunday Ticket
© 2026 Google LLC
Jul 6, 2026 · via youtube.com
About
Press
Copyright
Contact us
Creators
Advertise
Developers
Terms
Privacy
Policy & Safety
How YouTube works
Test new features
NFL Sunday Ticket
© 2026 Google LLC
Jul 6, 2026 · via youtube.com
Microsoft, Google and Cloudflare just made 2029 the new quantum deadline The inevitable path to access to quantum computing brings an equal and opposite responsibility to address post-quantum cryptography. Government directives from nations including the United States and France have previously set an end-of-decade timeline, stipulating that public sector bodies and “critical operators” should procure and deploy exclusively quantum-safe technologies by 2030. That timeline has now changed. Technology vendors, including Microsoft, Google and Cloudflare, have publicly stated that they will bring their quantum-safe deadline date forward to 2029. “We believe cryptographically relevant quantum computers could arrive sooner than previously expected, and the work required to prepare is significant so organizations need to start now.” A new risk horizon According to Mark Russinovich, Microsoft Azure chief technology officer, advances in quantum research and development have now “shifted the risk horizon” for everyone. “We believe cryptographically relevant quantum computers could arrive sooner than previously expected – and the work required to prepare is significant so organizations need to start now,” writes Russinovich in a recent blog post. Russinovich noted that there has been growing recognition that the transition to quantum-safe cryptography is a “multi-year engineering effort” that benefits from early planning and action, so delaying work increases both cost and risk. The Microsoft Quantum Safe Program (QSP) timeline and the goal of transitioning products and services to PQC by 2029 mean Redmond is also incorporating PQC requirements into its Secure Future Initiative (SFI). “This brings quantum-safe readiness into the same disciplined engineering framework we use for other critical security outcomes: clear ownership, measurable milestones, and transparent progress. Embedding these capabilities into our platforms empowers customers to move sooner and more confidently,” added Russinovich. “Cryptographically relevant quantum computers don’t exist yet, but many labs across the world are pursuing different approaches to building
Jul 6, 2026 · via thenewstack.io
MOST POPULAR AI - Science Boffins bet on quantum computers, AI supers to solve fusion fuel dilemmaDepartment of Energy, Cleveland Clinic, and IBM simulate a soup of molten salts and techno babble in pursuit of tritium - AI and ML Software engineers can still rake in big bucks by working for fast-growing companiesAI's impact on tech business is complicated - software Microsoft says the world is changing faster than it can keep up as it guts commercial, Xbox teamsXbox chief says company can't afford to mistake longevity for inevitability - AI and ML AMD’s Ryzen AI Halo makes local AI look easy, but at $4K, easy doesn't come cheap128 GB of memory! In this economy? - AI and ML Nvidia floats double-dipping datacenter financing schemeWhat's better than getting paid once? Getting paid twice of course Infosec - Security Russians are posing as Signal support to launch phishing attacksPLUS: US takes down Iranian propaganda sites; Marketing company asks 'Why Do We Have Your Information?' And more! - Security Microsoft patches failed to fix on-prem SharePoint, which is now under zero-day attackPLUS: China upgrades smartphone surveillance tools; Ring eases anti-snooping stance; and more - Black Hat and DEF CON DEF CON Franklin project enlists hackers to harden critical infrastructureVoting village reports have been so successful, says Jeff Moss, that the whole of DEF CON will now be included - Security EQT buys majority share in Swiss cybersecurity biz AcronisWent at equivalent of $3.5B+ valuation for entire firm, though portion sold not specified - Malware Month Ten years since the first corp ransomware, Mikko Hyppönen sees no end in sightOn the plus side, infosec's a good bet for a long, stable career FOSS - Collabora releases CODE 26.04 as rivalry between FOSS cloudy office suites heats upNow with Markdown support and smarter formula
Jul 6, 2026 · via theregister.com
Oak Ridge National Lab, Cleveland Clinic, and IBM Achieve First-Known Computations of Fusion Materials on a Quantum Computer
Newswire.ca - Mon Jul 6, 6:00AM CDT
Initial results lay the groundwork for key objective of the United States Genesis Mission
Quantum-centric supercomputing algorithm takes aim at tritium extraction – a bottleneck to abundant energy and a long-standing challenge for classical computers working alone
Read more at newswire.caThis article contains syndicated content. We have not reviewed, approved, or endorsed the content, and may receive compensation for placement of the content on this site. For more information please view the Barchart Disclosure Policy here.
Jul 6, 2026 · via theglobeandmail.com
IBM, Oak Ridge and Cleveland Clinic unveil quantum-powered novel fusion energy research A joint effort from IBM, Oak Ridge National Laboratory and the Cleveland Clinic offers new perspectives into the near-term scientific applications for quantum computing systems. IBM, Oak Ridge National Laboratory and the Cleveland Clinic on Monday unveiled the first known molecular simulation created with the help of quantum computing, an achievement that contributes to goals outlined in the Trump administration's Genesis Mission. Using IBM’s 156-qubit Heron quantum processor chip and ORNL’s supercomputing infrastructure, scientists developed nine molecular configurations of a liquid salt that has the potential to produce tritium, a necessary fuel for fusion energy production. The simulation contributes to Trump administration goals set out in the Department of Energy’s Genesis Mission and represents a new step in the near-term application of quantum information systems. “We're going to see quantum applications accelerate because of this type of work,” IBM Director of Research Jay Gambetta told Nextgov/FCW. The molecular models in the research simulate interactions between tritium, a rare isotope of hydrogen that is key in producing fusion energy, and atom clusters in molten salt to support tritium breeding and management. Cultivating a robust supply of tritium and stabilizing it has been a challenge for experts working to deploy fusion energy as a cleaner power source, as the material is extremely rare in nature. Fostering nuclear power is a major goal for the Trump administration’s Genesis Mission. Tom Beck, the section head of science engagement at ORNL, told Nextgov/FCW the entire effort was aimed at demonstrating the research and development capabilities within the Genesis Mission initiative. “Essentially, the problem of tritium is … making these reactors stable,” Gambetta said. “With quantum computers you can start to simulate it.” Beyond quantum, the process also leveraged a hybrid computing system, which
Jul 6, 2026 · via nextgov.com
Abstract We develop and demonstrate methods for simulating the scattering of particle wave packets in the interacting Thirring model on digital quantum computers, with hardware implementations on up to 80 qubits. We identify low-entanglement time slices of the scattering dynamics and exploit their efficient representation by tensor networks. Circuit compression based on matrix product state techniques yields on average a reduction by a factor of 3.2 in circuit depth compared to conventional approaches, allowing longer evolution times to be evaluated with higher fidelity on contemporary quantum processors. Utilizing zero-noise extrapolation in combination with Pauli twirling, on quantum hardware we accurately simulate the full scattering dynamics on 40 qubits, and further demonstrate the tensor networks compressed state preparation on 80 qubits. Similar content being viewed by others Introduction Scattering experiments are at the heart of unraveling the internal structure of matter and the interactions between the fundamental particles. Major experimental facilities such as LHC1 and RHIC2 continue to generate valuable experimental data to test the theoretical predictions and drive the search for new physics. Concomitantly, there are significant efforts to develop analytical and numerical methods for improving our understanding of gauge field theories, which provide the theoretical framework for particle physics. In particular, Lattice Field Theory (LFT) provides a powerful tool for exploring non-perturbative regimes from first principles. Discretizing a theory on a Euclidean space-time lattice allows for applying sophisticated Monte Carlo (MC) methods that have been extremely successful for computing properties such as mass spectra, phase diagrams and many other static properties3,4. However, the conventional MC approach to LFT is not suited to directly explore dynamical problems, as it crucially relies on the formulation in Euclidean space-time, and using Minkowski space-time would lead to a sign problem preventing efficient MC sampling. While indirect approaches exist to address scattering problems with
Jul 6, 2026 · via nature.com