Articles tagged with Computational Physics
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 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.
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.
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.
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.
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.
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.
Researchers at UCF are developing materials that allow electricity to move through devices without creating heat, potentially transforming how technology is built and powered. If successful, this could lead to a long-term solution for humankind and the way we consume our natural resources.
Researchers at Johannes Gutenberg University Mainz enhance Brownian reservoir computing to detect simple hand gestures, outperforming software-based approaches in terms of accuracy and energy consumption. The system uses skyrmions to recognize complex motions with low currents.
Researchers have developed a novel approach using deep learning to accelerate the solution of Navier-Stokes equations, a set of classical equations that describe fluid dynamics. The team's method achieved inference latencies of just 7 milliseconds per input, outperforming traditional finite difference methods.
Physicists at European XFEL have made comprehensive observations of ionisation processes in warm dense matter. The team observed how quickly copper transforms into the exotic state of ionised WDM to become transparent to X-rays.
A new study by an international team, including MIT and CNRS, observed that similarities exist between the behavior of birds in flight and physical systems. The research suggests that the transition from disorder to coordination is not as different between particles and biological elements as previously thought.
Researchers at the University of Bath have created new specialty optical fibers to cope with the challenges of future quantum computing. These fibers feature a micro-structured core that allows for improved data transfer and the creation of entangled photons, enabling quantum computation.
Researchers at Max Planck Institute propose a new method for implementing neural networks with optical systems, which could lead to faster and more energy-efficient alternatives. The approach allows for parallel computations in high speeds limited by the speed of light, and can be applied to various physically different systems.
Scientists at European XFEL have developed a new method to study warm dense matter, allowing for unprecedented insights into its structure and properties. This breakthrough enables the investigation of plasmons in ambient aluminum with ultra-high-resolution X-ray Thomson scattering.
A team of physicists from Poland and Germany have successfully calculated the cross-section for Higgs boson production in gluon-gluon collisions. The calculations suggest that no new physics factors are present in the Higgs boson particle.
Researchers create an analog system that can learn complex tasks like XOR relationships and nonlinear regression, using local learning rules without centralized processor. The system is fast, low-power, and scalable, offering a unique opportunity for studying emergent learning.
Research using a novel microscopic technique reveals that gold nanoparticles' lethality to cancer cells is more complex than previously thought. Smaller nanoparticles can regenerate and divide after initial stress, while larger star-shaped particles cause oxidative stress leading to programmed cell death.
Scientists at uOttawa have developed Fourier Quantum Process Tomography (FQPT) to validate quantum circuit performance. The technique allows for high-accuracy characterization with minimal measurements, enabling significant advancements in quantum computing.
Researchers developed a computational method to estimate sudden cardiac death risk using one-minute heart rate measurements at rest. The new method provides a significantly better estimate than previous analyses, identifying differences in heart rate intervals between high-risk and healthy patients.
Dr. Alice Walker will investigate the design of fluorescent protein sensors using computer simulations, which may aid in tracking diseases and monitoring treatment effectiveness in living cells and organisms. The five-year $690,816 grant also supports undergraduate research opportunities for WSU students.
Researchers at Lancaster University and Radboud University Nijmegen have discovered a novel pathway to modulate and amplify spin waves at the nanoscale, paving the way for dissipation-free quantum information technologies. The study's findings could lead to the development of fast and energy-efficient computing devices.
A recent study combines experimental data with state-of-the-art calculations to reveal new details on the origins of proton spin. The research shows that gluons, which hold protons together, contribute significantly to the proton's spin, contradicting earlier findings.
An international research team uses wavefunction matching to overcome computational challenges in ab initio methods for nuclear physics. By transforming realistic high-fidelity interactions into easily computable ones, they can perform accurate calculations that match real-world data on nuclear properties.
Researchers introduce mathematical equations revealing minimum and maximum predicted energy cost of computational processes with randomness, offering insights into computing energy-cost bounds. The framework offers a way to calculate lower bounds on the energy cost of unpredictable finish situations.
Using the Hubbard model, researchers successfully re-created key features of cuprate superconductivity, which has puzzled scientists for decades. The breakthrough demonstrates the worth of simple models in understanding complex physics.
Researchers created a digital twin model that predicts and controls complex systems, achieving higher accuracy than traditional methods. The algorithm is compact, energy-efficient, and easy to implement, making it suitable for self-driving vehicles and other dynamic systems.
Researchers at the University of Arizona and Sandia National Laboratories have developed a new class of synthetic materials that enable giant nonlinear interactions between phonons. This breakthrough could lead to smaller, more efficient wireless devices, such as smartphones or other data transmitters.
A new study using the James Webb Space Telescope found that the universe's early galaxies developed and matured much faster than previously believed. Almost 20% of disc galaxies observed had bar formations, indicating a more settled stage in galaxy evolution.
Zhite Yu has been awarded the 2024 J.J. and Noriko Sakurai Dissertation Award in Theoretical Particle Physics for his novel and outstanding doctoral thesis work. He studied the proton's interior using electron-scattering processes and proposed two new methods to overcome limitations, which can provide more information about partonic st...
Researchers from Lehigh University have developed a material that promises over 190% quantum efficiency in solar cells, exceeding the theoretical limit for silicon-based materials. The material's 'intermediate band states' enable efficient absorption of sunlight and production of charge carriers.
Researchers visualize chiral interface state at atomic scale for the first time, allowing on-demand creation of conducting channels. The technique has promise for building tunable networks of electron channels and advancing quantum computing.
Researchers from the University of Tokyo have developed a physics-based predictive tool that quickly identifies stable intercalated materials for advanced electronics and energy storage devices. By analyzing over 9,000 compounds, the tool uses straightforward principles from undergraduate chemistry to predict host-guest stability.
Scientists create high-throughput automation to calculate surface properties of crystalline materials using established laws of physics. This accelerates the search for relevant materials for applications in energy conversion, production, and storage.