Articles tagged with Computational Physics
Researchers will generate maps showing the intensity and extent of an earthquake, helping to identify regions with a higher probability of infrastructure damage. The simulation will recreate a hypothetical scenario of an 8.1 magnitude earthquake in Mexico's Michoacán state.
The SAGEST Predictive Simulation Center will develop simulation tools to give scientists confidence in exploring extreme physical conditions. The center, led by UVA's Xinfeng Gao, will use high-fidelity and low-fidelity solvers to balance accuracy and efficiency in predictions.
A sophisticated neutron flux diagnostic system will gather knowledge of plasma and power released in nuclear reactions at ITER. The High Resolution Neutron Spectrometer (HRNS) measures both neutron number and energies, providing information on fuel composition, ion temperature, and combustion quality.
Researchers have developed a motion-compensation method that allows single-pixel imaging to capture sharp images of complex dynamic scenes. The new approach improves image quality and video smoothness in various scenarios, including surveillance and medical diagnostics.
Researchers from TUM and Google Quantum AI realize Floquet topologically ordered state, a phase predicted but never observed, using 58 superconducting qubit quantum processor. They probe the system's underlying topological properties and witness dynamical 'transmutation' of exotic particles.
A newly detected black hole merger has provided the clearest evidence yet of how black holes work, confirming fundamental predictions by Albert Einstein and Stephen Hawking. The observations reveal insights into the properties of black holes and the nature of space-time, hinting at how quantum physics and general relativity fit together.
A new hybrid software approach, sys-sage, facilitates collaboration between quantum and high-performance computing systems. The system can optimize task allocation and mapping to the best resources in each topology.
The study reveals that when physical constraints are removed, human mobility follows a power-law pattern, decreasing steadily with distance. The researchers found this pattern across five orders of magnitude, from 10 meters to hundreds of kilometers.
Researchers at the University of California, Riverside, have made a breakthrough in building larger and more reliable quantum computers by linking multiple quantum chips. The team found that even imperfect links between quantum chips can produce a functioning fault-tolerant quantum system.
Researchers use numerical relativity to probe the universe's biggest questions, including the Big Bang, cosmic inflation, and multiverse theories. The method allows for exploration of extreme situations beyond current mathematical limits.
The book explores foundational and advanced principles of modeling concurrent control systems using Petri nets, focusing on building reliable, verifiable systems where concurrency plays a central role.
Studies compare three helmet materials (ABS, fiberglass, and aluminum alloys) for reducing traumatic brain injury risk in elite athletes. ABS is sufficient for training and recreational sports, while fiberglass or aluminum alloys are recommended for elite athletes due to their unique benefits.
Researchers have developed a world-first method to simulate specific types of error-corrected quantum computations, a significant leap forward in the quest for robust quantum technologies. The new algorithm tackles a long-standing challenge in quantum research and enables accurate simulation using conventional computers.
The SPINNING project has successfully demonstrated a robust and energy-efficient alternative to established quantum computing hardware platforms. The developed spin qubits in diamond outperform comparable commercially available superconducting systems in terms of longer operation times and lower error rates.
Researchers from OIST develop new quantum AI method for image recognition based on boson sampling, achieving highly accurate results without complex training. The approach uses a linear optical network and preserves information, outperforming classical methods in various datasets.
Researchers from the University of Utah have developed an 'optical neural engine' that encodes partial differential equations in light and feeds them into a device to accelerate machine learning. The optical approach accelerates the process and requires less energy compared to electronic methods.
Researchers developed a machine learning framework that can predict how materials respond to electric fields up to a million atoms, accelerating simulations beyond quantum mechanical methods. This allows for accurate, large-scale simulations of material responses to various external stimuli.
Researchers successfully simulated fundamental interactions using Google's quantum processor, demonstrating the potential of quantum computing in particle physics and quantum materials. The study provides new insights into gauge theories and the behavior of particles, with implications for understanding space and time.
The University of Texas at Arlington's nursing and physics team has developed a system to study alpha radiation, improving the effectiveness of radiation therapy. The team's research was recognized with the Best in Physics award at the American Association of Physicists in Medicine's annual meeting.
Researchers develop new method to simulate Pockels effect, a key phenomenon in optoelectronics, using Density Functional Theory and finite differences. The approach enables accurate modeling of barium titanate's behavior, paving the way for more efficient devices.
A University of Texas-led team has discovered a shortcut to design leak-proof magnetic confinement systems in stellarator reactors, addressing a 70-year-old challenge. This breakthrough enables engineers to simulate the system more efficiently without sacrificing accuracy, paving the way for the development of reliable fusion energy.
Researchers have unveiled the secrets of deconfined quantum critical points (DQCPs), breaking away from conventional physics and offering a fresh perspective on quantum matter. The study reveals anomalous logarithmic behaviors and identifies a critical threshold value, suggesting DQCPs can resemble continuous phase transitions.
A Lehigh University team developed a novel machine learning method to predict abnormal grain growth in materials, enabling the creation of stronger, more reliable materials. The model successfully predicted abnormal grain growth in 86% of cases, with predictions made up to 20% of the material's lifetime.
Researchers developed a new viscoelastic model of enzymes, elucidating the intertwined effects of elastic forces and friction forces on enzyme function. This breakthrough allows proteins to be perceived as soft robots or programmable active matter, revolutionizing our understanding of enzymatic catalysis.
The Flatiron Institute's Center for Computational Astrophysics is now supporting MESA's ongoing maintenance and development after its creator Bill Paxton steps down. The center has hired Philip Mocz as a full-time software engineer to ensure MESA's continued growth and impact in stellar physics.
Researchers developed a new liquid-crystal-based platform to handle hundreds of optical modes in compact two-dimensional setups, overcoming optical losses. This breakthrough enables the scalability of quantum simulations and all-optical AI systems.
Scientists from South Africa and China successfully established the world's longest intercontinental ultra-secure quantum satellite link spanning 12,900 km. This achievement demonstrates South Africa's potential to develop a thriving quantum ecosystem.
Physicists at the University of Cologne have successfully observed Crossed Andreev Reflection in TI nanowires, a crucial step toward engineering Majorana-based qubits. This breakthrough enables reliable control over superconducting correlations in topological insulator nanowires.
The Global Physics Summit will feature nearly 1,200 sessions and 14,000 presentations on various topics, including astrophysics, climate science, medicine, and quantum information. Registered journalists and public information officers will receive daily emails with meeting information.
Researchers at AWS and Caltech developed a new cat qubit chip, called Ocelot, to suppress errors in quantum computers. The chip uses superconducting circuits to create stable qubits resistant to bit-flip errors.
Researchers used Quantum Approximate Optimization Algorithm (QAOA) to cluster jets in high-energy particle collisions, achieving performance comparable to classical algorithms. The study demonstrates the potential of quantum computing in improving jet clustering for practical applications.
Researchers find that intense laser pulses cause tunnel ionization, generating photocarriers and altering the lattice energy surface, leading to ultrafast melting of wide-gap ceramic materials like MgO. The study demonstrates a universal microscopic mechanism for laser-induced phase transitions.
Discounted hotel rates available at select hotels near the Anaheim Convention Center. The Global Physics Summit will feature nearly 14,000 individual presentations on new research in various fields.
Researchers at Tampere University developed a new method to detect congestive heart failure using inter-beat intervals measured by smartwatches and heart rate monitors. The accuracy of the method was found to be 90% in distinguishing patients with congestive heart failure from healthy control subjects.
Dental implant surgeries require optimal mechanical stress levels for successful bone healing and long-term implant success. Researchers are developing a hybrid biomechanical model using machine learning to provide precise, patient-specific predictions of mechanical stress.
Researchers at Lancaster University have developed a new method to detect Alzheimer's disease by analyzing changes in brain oxygenation dynamics and neuronal function. The study found that individuals with Alzheimer's disease exhibit altered respiratory frequency, which may be an early indicator of the condition.
Researchers found that some materials can store and recall sequences under specific conditions, defying mathematical predictions. This phenomenon relies on 'frustrated' hysterons, which are key to forming and recovering a sequence with asymmetric driving.
Researchers introduce 'fitness centrality,' a faster method to identify crucial elements in any network, with practical applications in supply chains, ecological conservation, and cybersecurity. The approach streamlines analysis, making it practical for vast networks.
Physicists have devised a new optical analog computing method to detect edges in images, working at the speed of light and consuming almost no energy. The technique can identify edges even in small objects, with potential applications in high-resolution microscopy and biological samples.
Researchers develop new technique to analyze abstract paintings using 2D multifractal analyses, revealing details on directional asymmetry and multifractality. The method is successfully applied to Jackson Pollock's works, documenting the evolution of his art.
Researchers at TU Graz are developing a self-learning AI system to position individual molecules quickly and autonomously, enabling the construction of highly complex molecular structures. The goal is to build logic circuits in the nanometre range using quantum corrals made from complex-shaped molecules.
A research team from UniTrento partnered with Google's Quantum Ai Lab to study confinement in lattice gauge theory on powerful quantum computers. They successfully tested hypotheses using the quantum simulators' potential, which cannot be reached by conventional computers.
The American Physical Society's joint March Meeting and April Meeting will convene more than 14,000 physicists from around the world to present new research in various fields. The conference will be held in person in Anaheim, California and online everywhere March 16-21.
Physicists at Brown University have observed a novel class of quantum particles called fractional excitons, which behave in unexpected ways. The discovery unlocks a range of novel quantum phases of matter, presenting a new frontier for future research.
In a Weizmann Institute experiment, groups of ants demonstrated superior problem-solving skills compared to human groups and individuals. Humans struggled to improve performance when working together, relying on individual calculation rather than collective strategy.
The new startup, AQSolotl, has developed a quantum controller that enables users to control quantum computers easily using laptops and desktops. The technology, developed by NTU and NUS researchers, is designed to be scalable, adaptable, and cost-efficient.
A new method combines theory and simulation predictions with experimental data to improve fusion plasma performance accuracy. Multi-fidelity modeling enhances predictive accuracy using limited high-quality data, improving the reliability of plasma transport models.
Researchers use precise measurements of radioactive decay processes to calculate quark mixing, uncovering effects involving weak interactions that dominate uncertainty. The work may hold promise for uncovering footprints of new physics in nuclear processes.
Scientists have clarified the conditions under which large numbers of 'squishy' grains, similar to those found in biological tissues, undergo a yielding transition from solid-like to fluid-like behavior. The findings provide insights into the roles of mechanical and biochemical processes in biological systems.
Researchers have discovered a new phenomenon in quantum-driven superconductors that could lead to more precise control of driven quantum systems. The study, led by IU Professor Babak Seradjeh, explores the role of Floquet Majorana fermions in the Josephson effect and their potential for developing stable quantum computers.
Professor Ruth Britto and her international team will develop new algorithmic methods with applications in mathematics, particle physics, and gravity. They aim to tackle longstanding computational bottlenecks and push the boundaries of numerous areas of theoretical physics.
The team developed an exascale climate emulator with enhanced resolution without increasing data storage needs. The emulator offers a remarkable resolution of 3.5 kilometers, replicating local conditions on a timescale from days to hours.
Researchers used a classical computer and mathematical models to outperform a quantum computer on a task involving a two-dimensional quantum system of flipping magnets. The system displayed a behavior known as confinement, which had previously been seen only in one-dimensional systems.
Chris Van de Walle, a distinguished professor at UCSB, has been awarded the American Physical Society's 2025 Aneesur Rahman Prize for Computational Physics. He was recognized for his development and application of first-principles methods to compute structural, electronic, and optoelectronic properties of point defects and interfaces.
The SPINNING project successfully demonstrated the entanglement of two registers of six qubits each over 20m distance with high fidelity. The spin-photon-based quantum computer achieved lower error rates than superconducting Josephson junctions, outperforming prominent models like Eagle and Heron.
Scientists at Paderborn University used high-performance computing to analyse a quantum photonics experiment, performing calculations in just minutes. The findings have significant implications for characterising photonic quantum computer hardware and will shape the future of quantum research.
A new study suggests that Betelgeuse's pulsing is due to an orbiting companion star known as the 'Betelbuddy'. The star acts like a snowplow, pushing light-blocking dust out of the way and making Betelgeuse appear brighter. Researchers used computer simulations to confirm this hypothesis, ruling out other possible causes.
Researchers at Newcastle University developed a novel approach using electromagnetic waves to solve partial differential equations, specifically the Helmholtz wave equation. The innovative structure, known as a metatronic network, effectively behaves like a grid of T-circuits and allows for control over PDE parameters.
A new benchmark, V-score, compares performance of classical and quantum algorithms in simulating complex phenomena in condensed matter physics. The study identifies the hardest problems in materials science, including frustrated geometries and strong electron interactions.
A new study by Prof. Yaron Bromberg and Dr. Ohad Lib from the Hebrew University of Jerusalem has made significant progress in quantum computing through photonic-measurement-based quantum computation. They successfully generated cluster states with over nine qubits at a frequency of 100 Hz, overcoming scalability barriers.