Articles tagged with Quantum Computing
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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.
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.
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.
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 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.
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 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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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 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.
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.
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.
Researchers successfully demonstrated the UK’s first long-distance ultra-secure transfer of data over a quantum communications network, enabling secure video calls and encrypted medical data transmission. The network uses standard fibreoptic infrastructure and quantum phenomena to enable ultra-secure data transfer.
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.
Researchers have developed an on-chip twisted moiré photonic crystal sensor that can simultaneously measure wavelength, polarization, and perform hyperspectral imaging. The device uses MEMS technology to control the twist and distance between layers in real time.
Cleveland Clinic researchers successfully tested quantum computing's ability to simulate proton affinity, a fundamental chemical process critical to life. The study used machine learning applications on quantum hardware, achieving higher accuracy than classical computing in predicting proton affinity.
Researchers at USC have demonstrated the first optical filter capable of isolating and preserving quantum entanglement, a mysterious phenomenon at the heart of quantum computing. The filter uses anti-parity-time symmetry to strip away noise and reveal a pure, entangled state.
A new study demonstrates significantly enhanced stability of Majorana zero modes in engineered quantum systems, a key advancement towards fault-tolerant quantum computing. The research uses a three-site Kitaev chain design to achieve this stability, providing a promising candidate for building robust quantum computers.
A three-site Kitaev chain has been realised using semiconducting quantum dots and superconducting segments, demonstrating increased stability of zero-energy modes compared to two-site chains. The discovery showcases the potential of this approach for scalable Majorana zero mode hosting.
The Albert Einstein Jewish Brazilian Hospital launches a project to evaluate the application of quantum computing in developing new drugs and improving disease diagnosis. Researchers aim to use machine learning and quantum optimization algorithms to analyze rainfall data and predict heavy rainfall events.
A study by Philip Kurian and colleagues reveals a revised upper bound on carbon-based life's computational capacity, connecting it to the universe's information-processing limit. The discovery of quantum superradiance in cytoskeletal filaments enables eukaryotic organisms to process information through tryptophan networks.
Researchers at Wits University have discovered a way to protect quantum information from environmental disruptions, offering hope for more reliable future technologies. By engineering specific topological properties in quantum states, they can preserve critical information even when disturbed by noise.
A team of researchers from JPMorganChase, Quantinuum, and the University of Texas at Austin have successfully demonstrated certified randomness using a 56-qubit quantum computer. This achievement has significant implications for cryptography, fairness, and privacy, as it enables the generation of truly random numbers that cannot be man...
Researchers developed a method to detect and protect quantum entanglement, a fundamental aspect of quantum computing. The variational entanglement witness (VEW) algorithm optimizes entanglement detection accuracy, differentiating between separable and entangled states.
The SPINUS project has achieved significant milestones in developing solid-state qubits for quantum simulators and computers. Researchers have made progress in spin control, readout, material synthesis, and quantum algorithm development, paving the way for a scalable quantum computer with over 10 qubits.
A new approach to AI developed by Texas A&M University engineers mimics the human brain's neural processes, integrating learning and memory in a single system. This 'Super-Turing AI' has the potential to revolutionize the industry by reducing energy consumption and environmental impact.
Researchers at EPFL have developed a novel acoustic system that can explore condensed matter and their macroscopic properties, circumventing the limitations of quantum phenomena. The system uses sound waves to model quantum probability waves, allowing for direct observation without perturbation.
Researchers at Harvard created a new type of interferometer that can modulate aspects of light in one compact package, enabling precise control over light's frequency and intensity. This breakthrough has the potential to be used in advanced nanophotonic sensors or on-chip quantum computing.
Researchers successfully simulated a complete quantum field theory in more than one spatial dimension using a novel type of quantum computer. This approach enables efficient storage and processing of information, allowing for the observation of fundamental features of quantum electrodynamics.
The University of Osaka and research partners have launched an open-source operating system for quantum computers, enabling cloud-based operation. The OQTOPUS OS can be customized to meet individual user needs and is expected to help make practical quantum computing a reality.
Researchers at MIT created a photon-shuttling interconnect that facilitates remote entanglement, a key step toward developing practical quantum computers. The device enables all-to-all communication between multiple superconducting quantum processors, paving the way for more efficient and scalable quantum computing.
Researchers have developed a chiral semiconductor that emits circularly polarised light, potentially improving OLED display efficiency and enabling quantum computing. The innovation uses molecular design tricks inspired by nature to create ordered spiral columns of semiconducting molecules.
Researchers have created quantum holograms using metasurfaces and nonlinear crystals, enabling precise control over entangled information. The technology holds promise for practical applications in quantum communication and anti-counterfeiting, with potential to increase information capacity and reduce system size.
Researchers at Osaka Metropolitan University developed new formulas to calculate key quantum informative quantities, including entanglement entropy and mutual information. These simplified expressions offer fresh perspectives into quantum behaviors in materials with different physical characteristics.
A team of researchers observed first- and second-order dissipative phase transitions in a two-photon driven Kerr resonator, showcasing the transformative power of quantum systems. The study demonstrates the validity of theoretical predictions and opens new possibilities for engineering stable and responsive quantum systems.
Researchers from the University of Warsaw discovered an unexpected order in interatomic collisions, allowing for controlled interactions at higher temperatures. This breakthrough could simplify future experimental realizations and shed light on fundamental questions about quantum and classical worlds.