Articles tagged with Quantum Computing
The University of Osaka's Center for Quantum Information and Quantum Biology successfully launched a fully domestically produced quantum computer. The achievement demonstrates Japan's capacity to design, manufacture, and integrate a complete quantum system, showcasing its mastery of quantum technologies.
Researchers at Yonsei University have successfully measured the full quantum metric tensors of Bloch electrons in solids, a breakthrough that could lead to advanced semiconductor technologies and higher transition-temperature superconductors. The study used black phosphorus as a representative material for photoemission measurements.
Researchers have observed quantum entanglement in heavy fermions governed by the Planckian time, a fundamental unit of time in quantum mechanics. This phenomenon opens up possibilities for harnessing it in solid-state materials to develop a new type of quantum computer.
A team of researchers developed a new quantum framework for analysing higher-order network data using topological signal processing. The Quantum Topological Signal Processing (QTSP) framework achieves linear scaling in signal dimension, opening the door to efficient quantum algorithms for problems previously considered out of reach.
Researchers at the University of Minnesota have discovered a way to manipulate charge flow in ultrathin metallic films using light. This breakthrough could lead to energy-efficient optical sensors, detectors, and quantum information devices.
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.
This book provides a beginner-friendly resource on the impact and evolution of decentralized networks, highlighting their applications in healthcare, supply chains, agriculture, climate monitoring, and education. The authors emphasize sustainability, data security, and ethical tech adoption.
Researchers at Kyoto University have developed a new method to strengthen the brightness of single-photon light sources using magnetism. By introducing defects into a two-dimensional semiconductor, they were able to enhance the emission intensity even under weak magnetic fields.
Researchers at MIT develop a new method to directly measure the strength of electron-phonon interaction in semiconductors, a crucial property for next-generation microelectronic devices and quantum computers. This approach leverages an oft-overlooked interference effect in neutron scattering to detect electron-phonon interactions.
Researchers create metasurfaces to control photons and entangle them for quantum computing and sensing. The discovery could lead to miniaturized optical setups with improved stability, robustness, and cost-effectiveness.
Recent advances in superconducting quantum computing (SQC) have made significant progress toward fault-tolerant computation and scalable architectures. Innovations in hardware development, gate-level operations, multi-qubit control, and novel qubit encodings are laying the groundwork for next-generation processors.
Scientists use human-AI collaboration to tackle complex questions in condensed matter physics, leveraging machine learning algorithms to identify patterns in simulation data. This approach successfully models the behavior of frustrated magnets and sheds light on quantum computing and gravity.
Researchers combined quantum computing with supercomputing to simulate large molecule stability and behavior, overcoming current barriers. The hybrid approach used a quantum computer for complex calculations and a supercomputer for error correction, enabling accurate predictions of molecule stability.
Researchers from Boston University and Northwestern University develop a system that integrates quantum light sources and control electronics on a single piece of silicon, creating reliable streams of correlated photon pairs. The advance enables mass-producible 'quantum light factory' chips and large-scale quantum systems.
Researchers at Kyoto University have characterized quantum advantage by proving an equivalence between its existence and the security of certain cryptographic primitives. This breakthrough implies that when quantum advantage does not exist, many conventional cryptographic primitives are broken, including post-quantum ones.
Physicists from Aalto University have measured a transmon qubit coherence time of over a millisecond, surpassing previous records and enabling more complex quantum computations. This breakthrough marks a significant step towards noiseless quantum computing.
Columbia Engineering researchers have developed HyperQ, a novel system that enables multiple users to share a single quantum computer simultaneously through isolated quantum virtual machines. This approach brings quantum computing closer to real-world usability, promising faster scientific discoveries and more practical use of limited ...
Researchers at University of California, Riverside, found that symmetrical silicon molecules can be fine-tuned for quantum electron behavior, turning conductivity on or off like a molecular-scale switch. This discovery could lead to ultra-small switches and thermoelectric devices, revolutionizing electronics.
A team of scientists has simulated spontaneous symmetry breaking (SSB) at zero temperature using a quantum processor. The system evolved from an antiferromagnetic state to a ferromagnetic quantum state, revealing the formation of ordered patterns and quantum entanglement.
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 AI for Good Global Summit 2025 will showcase AI innovations delivering better healthcare and education, reducing disaster risks, ensuring water and food security, and bolstering economic resilience. The event, organized by the International Telecommunication Union (ITU), features talks from AI leaders and 100+ demos.
Tina Rost will use a $800,000 NSF CAREER award to control the disorder in high-entropy ceramics, making them stronger and more heat-resistant. Her team aims to develop new materials with tailored electrical, magnetic, and mechanical properties using machine learning-enhanced analysis.
A national pilot program led by UTA faculty is helping take the mystery out of quantum physics for students and educators. The program, Quantum for All, provides hands-on curriculum and classroom strategies to equip high school science teachers with the tools they need to teach quantum science.
A team of researchers from the University of Sydney has developed a silicon chip that can control spin qubits at milli-kelvin temperatures, paving the way for scaling up quantum transistors from under 100 to millions. This breakthrough technology has the potential to make practical quantum computers a reality.
Researchers at Chalmers University of Technology have developed a highly efficient amplifier that activates only when reading information from qubits. The amplifier consumes just one-tenth of the power consumed by the best amplifiers available today, reducing qubit decoherence and laying the foundation for more powerful quantum computers.
Scientists from TU Delft have demonstrated quantum spin currents in graphene without external magnetic fields, a crucial step towards spintronics and next-generation technologies. These robust spintronic devices promise advancements in quantum computing and memory devices.
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 have identified cerium zirconium oxide as a clear, 3D realization of a rare quantum spin liquid, featuring emergent photons and fractionalized spin excitations. This discovery validates decades of theoretical predictions and has significant implications for next-generation technologies.
Scientists at Rice University have developed a scalable method to create high-performance single-photon emitters in carbon-doped hexagonal boron nitride, paving the way for practical quantum light sources. The findings overcome long-standing challenges in the field and set a new benchmark for qubit production.
Researchers at UBC propose a silicon-based device that can convert microwave to optical signals with high efficiency, paving the way for long-distance quantum communication. The technology preserves entangled links between particles, essential for quantum networking.
Researchers from The University of Osaka develop a method to prepare high-fidelity 'magic states' for use in quantum computers with less overhead and unprecedented accuracy. This breakthrough aims to overcome the significant obstacle of noise in quantum systems, which can ruin computer setups.
Researchers developed a new fabrication process that integrates high-performance GaN transistors onto standard silicon CMOS chips in a low-cost and scalable way. This technology reduces the temperature of the overall system and improves signal strength, bandwidth, and battery life in mobile phones.
A new study by USC researchers demonstrates an unconditional exponential quantum scaling advantage on IBM quantum processors, solving Simon's problem with a significant performance gap over classical computers. The team achieved this through optimal circuit design and error correction techniques.
Physicists at the University of Oxford have set a new global benchmark for qubit operation accuracy, achieving an error rate of just 0.000015%. This breakthrough could lead to more efficient and robust quantum computers, as reducing errors is crucial to their functionality.
The Human Exposome Moonshot initiative aims to map the physical, chemical, biological and psychosocial exposures driving 80% of chronic diseases. The exposome project integrates advanced technologies to create a comprehensive understanding of environmental influences on health.
Fraunhofer Institute for Applied Solid State Physics launches first room-temperature quantum accelerator, enabling energy-efficient hybrid quantum-classical computing. The QB-QDK2.0 system uses synthetic diamond substrates and NV centers to create stable qubits for industrial applications.
Researchers have developed a new type of exotic quantum material that can maintain its quantum properties when exposed to external disturbances, paving the way for robust quantum computers. The breakthrough uses magnetism to create stability, making it an important step towards realising practical topological quantum computing.
Researchers at Boston University are developing a groundbreaking method for securing sensitive data in the face of emerging quantum computing threats. Their approach, called Encrypted Operator Computing (EOC), merges physics, computer science, and mathematics to enable scalable methods for computing directly on encrypted data.
A team led by Kenneth Merz used IBM Quantum System One to run Sample-Based Quantum Diagonalization, a new method for simulating molecules in solvent. The approach achieved high chemical accuracy and demonstrated the ability to predict molecular energies and solvation free energy in aqueous solutions.
A new technique has been developed to identify materials needed for large-scale, fault-tolerant quantum computing. The technique uses a scanning tunneling microscope to detect the topological surface state in intrinsic topological superconductors, enabling the identification of promising platforms for topological quantum computing.
Researchers at UCC have developed a technique to determine whether a material can be used in quantum computing microchips. Using a scanning tunneling microscope, they found that Uranium ditelluride (UTe2) is an intrinsic topological superconductor.
Nord Quantique's multimode encoding technology demonstrates better error correction capabilities with fewer qubits, enabling smaller and more powerful quantum systems. The approach also reduces energy consumption and increases confidence information for improved error detection and correction strategies.
The EQUALITY project is developing advanced quantum computer algorithms for strategic industrial problems in areas like energy storage and aerodynamics. A webinar series will highlight these advancements, showcasing novel quantum approaches and their industrial applications.
Researchers at University of Chicago Pritzker School of Molecular Engineering discovered one of the world's thinnest semiconductor junctions within a quantum material. The discovery could lead to ultra-miniaturized electronic components and provides insight into electron behavior in materials designed for quantum applications.
Researchers have identified promising material platforms and pathways to create Z3 parafermions, enabling Fibonacci anyonic statistics and universal topological quantum computation. High-filling states and coupling FQAHE with superconductivity are potential approaches.
Kobe University researchers uncover a new phenomenon in bismuth that masks its surface conductivity, relevant to topological materials suitable for quantum computing and spintronics. The study breaks the principle of bulk-edge correspondence, suggesting 'topological blocking' in other systems.
Scientists successfully simulated real chemical interactions with light, marking a major breakthrough in applying quantum computing to chemistry and medicine. This achievement holds promise for understanding complex light-driven phenomena, such as photosynthesis and cancer research.
The Human Exposome is a global scientific effort to understand the environmental factors that underpin disease and health. The Exposome Moonshot Forum aims to chart this exposome, providing usable metrics and data points for targeted public health interventions.
Silicon spin qubits boast long coherence times and high gate fidelities, enabling universal quantum computers. Recent studies demonstrate gate fidelities required for fault-tolerant operations at temperatures above 1 Kelvin.
Researchers have developed deterministic benchmarking (DB), a more detailed and efficient method for identifying specific types of quantum noise and errors. DB provides accurate information about both coherent and incoherent errors, enabling better calibration of quantum gates.
A new technique using Bayesian inference has been developed to rapidly and accurately determine the charge state of electrons in semiconductor quantum dots, which is crucial for quantum computing systems. The method outperforms traditional threshold-based techniques, especially in situations with varying measurement noise.
The 56th Annual Meeting of the American Physical Society's Division of Atomic, Molecular and Optical Physics will present new research on quantum computing, lasers, and Bose-Einstein condensates. Over 1,200 physicists from around the world will convene in Portland, Oregon, June 16-20.
A USC-led study shows that a quantum annealer outperforms classical algorithms in finding near-optimal solutions to complex problems. The researchers used a D-Wave Advantage processor and implemented error suppression techniques to overcome noise limitations.
Researchers developed an adaptive quantum approximate optimization-based model predictive control strategy to enhance energy efficiency and drive decarbonization in buildings. The approach achieved a 6.8% improvement in energy efficiency and a 41.2% reduction in carbon emissions.
Researchers have demonstrated a new quantum sensing technique that surpasses conventional methods by counteracting the limitation of decoherence. The study's coherence-stabilized protocol allows for improved sensitivity and detection of subtle signals, with up to 1.65 times better efficacy per measurement.
Researchers at UC San Diego develop novel approach to extract essential information from quantum systems, outperforming traditional methods in accurately predicting diverse quantum state properties. Experimental validation demonstrates the effectiveness of this technique in characterizing quantum states despite realistic noise.
The team fabricated a probabilistic bit device based on manganite nanowires, achieving full control of its probabilistic characteristics with nanoampere-level currents. This p-bit exhibited exceptional computational potential in Bayesian inference tasks, outperforming existing similar probabilistic bits.
Quantum Base, a Lancaster University spin-out, has successfully floated on the London Stock Exchange with a £4.8 million fundraising. The company aims to harness quantum technology to address real-world challenges through its patented Q-ID solution for anti-counterfeiting.
A novel approach combines large language models and quantum computing to predict Salmonella antimicrobial resistance. The SARPLLM algorithm outperforms other models in prediction accuracy.
The collaboration aims to advance research on brain health with a focus on Alzheimer's disease. Initial projects will use CAS Content Collection and advanced technologies, including AI models and quantum computing to build and train disease-specific models.