Articles tagged with Quantum Computing
Researchers at Fraunhofer Institute offer new perspectives on quantum advantage, considering open system dynamics and dissipative processes. The study examines the scalability of Quantum Approximate Optimization Algorithm (QAOA) for large problem sizes, demonstrating potential advantages over classical methods.
Researchers at the University of Chicago have discovered a quantum phenomenon in a two-dimensional magnet that could be relevant for memory storage. The team found that one such material, Fe5GeTe2, exhibits a charge-ordered state where electrons move collectively and unusually slowly.
Researchers have developed a flexible optical computing system called Clavina that combines linear and nonlinear quantum operations, expanding the capabilities of quantum computers. The platform provides key building blocks for error correction and can solve graph problems, simulate quantum systems, or generate large entangled states.
Leaders in quantum science and technology will gather for the summit to explore applications of quantum physics, including data security and electronics. Researchers are also developing programs to train professionals in quantum information sciences.
MIT researchers develop a new fabrication platform to integrate molecules into electronic devices, enabling next-generation computing technologies and emerging applications. The technique uses nanoscale surface forces to mechanically assemble delicate molecular materials without damaging them.
The University of Tennessee is expanding its research excellence with the addition of eight exceptional researchers, tackling pressing challenges in fields like precision health, advanced computing, and sustainable materials. The new faculty members bring expertise that builds on the university's strengths and solidifies its standing a...
Pusan National University researchers have successfully developed a hybrid quantum network with indistinguishable quantum sources. The team demonstrated two-photon interference between a warm atomic ensemble and quantum dots, achieving high-visibility two-photon interference without needing spectral or temporal modifications.
Researchers at University of Witwatersrand have discovered that quantum information can be kept intact even when transmitted through turbulent environments. This breakthrough enables the use of twisted light to create high-capacity communication networks and ultra-resilient quantum computers.
Researchers developed a quantum machine learning framework to predict which tumor mutations will trigger an immune response. The Q-CHIPP model outperformed classical computing methods and achieved a significant technical milestone by scaling to full-length peptide modeling on quantum hardware.
Researchers at EPFL have developed a new quantum readout architecture that achieves fast and accurate qubit measurements with fewer additional components, allowing for improved performance and reduced hardware footprint. The new design uses a Josephson junction to provide built-in protection against information loss during measurement.
Researchers from the University of Waterloo developed a new quantum sensing technique using a molecule as a sensor, enabling precise imaging of single molecules. This technique has potential applications in drug discovery and structural biology.
A new concept from Warwick researchers introduces Quantum Phononic Links, which use sound vibrations to carry quantum information between qubits across an entire semiconductor chip. This approach enables long-range qubit connectivity, paving the way for building large-scale quantum computers with millions of qubits.
Researchers at Worcester Polytechnic Institute are launching a three-year project to train high school teachers in quantum information science and cybersecurity. The program aims to inspire young people to pursue education and careers in emerging science and technology fields.
A Tulane University team is using AI to discover new superconductors, which could improve the nation's electrical grid, medical imaging, and quantum computing. The project combines high-fidelity calculations, physics-aware AI, and experimental measurements to accelerate discovery.
Researchers at the Institute for Basic Science have developed a new strategy for electrically controlling molecular quantum systems, enabling precise control of individual molecular spins. This breakthrough offers a practical approach to building future molecular quantum technologies.
Researchers discovered that niobium diselenide and TaS₂ exhibit two strongly interacting superconducting states, resolving a long-standing mystery about their behavior. This finding provides new insight into superconductivity and could aid in designing better superconducting materials for future technologies.
Scientists harness non-Abelian anyons to perform any operation a quantum computer needs, eliminating the need for expensive magic state distillation. The approach enables fault-tolerant computations and has potential applications in quantum error correction and basic physics research.
Researchers unveiled a technique to build ultra-clean 2D heterostructures using muscovite crystals, eliminating microscopic residues that disrupt electronic device performance. This method enables precise stacking of atomic layers, leading to new properties and potential breakthroughs in quantum computing and nanoelectronics.
Researchers developed a prototype device that autonomously synchronizes distant qubits using a common source of correlated light particles, confirming a 20-year-old prediction. The approach requires no active control or measurement, making it fully autonomous and potentially boosting quantum technology.
Fraunhofer Institute's INQUBATOR launches open call for businesses to apply with their use cases for customized solutions in collaboration with Fraunhofer partners, providing practical access to real quantum computing and support for tangible benefits. The application deadline is August 31, 2026.
Researchers from Paderborn University, along with colleagues from Berlin and beyond, have secured funding for their project on semidefinite foundations for quantum codes. The aim is to develop mathematical foundations for quantum codes, crucial for building fault-tolerant quantum computers.
A new study explores an FMQA-based optimization framework for RNA design, revealing that encoding matters in achieving optimal results. The approach identifies high-quality RNA sequence candidates with relatively few evaluations, outperforming competing methods.
Researchers have developed novel spintronics-based probabilistic processors that accelerate complex optimisation tasks while consuming less energy. The systems achieved significant speedups and energy savings compared to conventional computers, highlighting a promising route towards faster and more energy-efficient optimisation.
The collaboration aims to bridge the gap between academic research and real-world financial applications, leveraging quantum algorithms to process large volumes of scenarios more efficiently. By doing so, they hope to achieve faster valuation, improved precision, and more scalable approaches to managing derivative risks.
Researchers at Texas A&M University develop a laser technique called TRIP to directly measure quantum forces shaping proteins, enabling accurate prediction of how pharmaceutical drugs interact with them. This breakthrough could lead to the design of medicines tailored to specific diseases, revolutionizing precision medicine.
A public-private partnership between Sandia National Laboratories and Quantinuum has achieved significant milestones in developing fault-tolerant quantum computing. The collaboration's 98-qubit commercial system, Helios, demonstrated very high fidelity in operations involving one or two qubits.
Researchers created a new quantum computing paradigm, QHDC, that works 500 times faster than existing methods. It uses hyperdimensional vectors and leverages quantum properties to efficiently encode and process complex data.
The Cleveland Discovery and Innovation Forum showcased the impact of AI and quantum computing on biomedical research, from prevention to treatment. The partnership between Cleveland Clinic and IBM's Discovery Accelerator has supported over 50 projects, contributing to multiple publications and education curriculum development.
Researchers at the University of Washington are using AI and quantum computing to design new materials with unique properties, such as superconductivity and entanglement. The tools are helping to power the growing field of quantum computing and could lead to breakthroughs in energy-efficient electronics.
Allen Liu's dissertation resolves major questions in understanding quantum phenomena and simulating physics through learning theory perspectives. Groundbreaking algorithms prove a new physical law, with far-reaching implications still being unraveled by the quantum computing community.
UT San Antonio's Jeff Prevost is appointed to the Texas Quantum Initiative Advisory Committee, guiding strategic investment and collaboration to advance the state's leadership in quantum research and technology development. The committee aims to develop a strategic plan supporting the growth of Texas' quantum economy.
Researchers developed an interferometric second-harmonic generation imaging approach to identify antiparallel domains and detect hidden structural defects in hBN thin films. The study finds that SHG intensity is closely associated with differences in crystal orientation and destructive interference between domains.
Researchers at VCU have developed a technique to control the spins of electrons in diamond qubits using tiny nanomagnets. This approach could enable scalable quantum computing and lead to significant energy savings.
Researchers at Virginia Tech have developed an 'acoustic atom' that traps and controls sound waves in ways that mimic real atoms. This breakthrough could influence technologies connected to quantum AI, telecommunication, medical imaging, GPS, and more.
A new research initiative aims to harness the potential of astrocytes, a type of brain cell often overlooked in AI development. By studying how astrocytes process information, researchers hope to create next-generation AI systems that learn faster and adapt more reliably.
Researchers discovered a more efficient method to eliminate errors in quantum computing by adapting the Schrödinger's cat scenario. They showed that stopping measurements immediately after detecting an error can increase confidence and reduce disturbance, enabling the detection of quantum information without disrupting it.
The University of Tennessee at Knoxville is launching the Knoxville Quantum Accelerator, a collaborative effort to develop and commercialize quantum technologies. The initiative will support the development of an ecosystem that advances both fundamental discovery and applications.
QuVET researchers explore how quantum wave functions move through ultra-thin materials, which could improve solar energy technologies and enable new forms of quantum control. They also manipulate quantum states in materials only a few atoms thick, opening possibilities for energy conversion and future quantum technologies.
Researchers at the Flatiron Institute and Boston University have developed a new technique using tensor networks to simulate complex quantum systems, demonstrating that classical computers can tackle previously thought-to-be-solvable-only-by-quantum-computers problems. This breakthrough opens new avenues for research on quantum dynamics.
Researchers at Penn have created quasiparticles that combine the speed of light with strong matter interactions, enabling signal switching needed in computation. This advancement could lead to faster, more energy-efficient photonic AI chips and pave the way for basic quantum computing capabilities.
A team of researchers has developed a way to precisely move tens of thousands of individual atoms within a material in minutes at room temperature. This approach uses algorithms to carefully position an electron beam and scan the beam to drive atomic motions, enabling the creation of defects with tunable functions.
Scientists have successfully measured incredibly small amounts of energy using a novel calorimeter technique, achieving a world-first in sensitivity. The breakthrough could pave the way for counting individual photons and detecting elusive dark-matter axions in space.
Researchers from MIT developed a technique to detect and precisely measure second-order harmonic corrections in superconducting quantum circuits. This analysis revealed the source of these distortions, which can cause quantum circuits to perform differently than expected.
The partnership aims to bridge the gap between fundamental research and real-world deployment of neuromorphic computing technologies. Key findings include the development of proof-of-concept applications, scalable solutions, and training programs for skills development in this rapidly emerging field.
A postdoctoral program will be conducted by NYU researchers on quantum algorithms and applications, sponsored by IBM, with a focus on chemistry, computer science, materials science, physics, and optimization. The collaboration aims to advance quantum computing for large-scale, fault-tolerant quantum computers.
Scientists have successfully demonstrated atomic spin qubit interaction with a single-quantum sound wave, opening up new possibilities for quantum information storage and sensing applications. The experiment uses phonons to interact with atomic defects in diamond, enabling precise measurement of forces and temperatures.
Researchers develop quantum algorithms to simulate polymer degradation caused by UV radiation, using industrially relevant aircraft coatings as an example. The goal is to optimize surface coatings for various industries, improving safety and reducing costs.
Researchers at Cal Poly have discovered a way to create exotic quantum matter by controlling the timing of magnetic fields. This breakthrough could lead to more stable and error-free quantum technologies, including quantum computing and simulation.
MIT researchers have developed an ultra-efficient microchip that can bring post-quantum cryptography techniques to wireless biomedical devices. The chip includes built-in protections against physical hacking attempts and is more than an order of magnitude more energy-efficient than prior designs.
The book highlights the importance of sustaining innovation in sectors such as semiconductors, biotechnology, and critical minerals to drive economic growth and national security. By rebuilding domestic manufacturing and leveraging new technologies, the US can regain leadership in these areas and capture a $4 trillion market.
A team at Aalto University has developed a quantum-inspired algorithm that enables the solution of colossal problems in quantum materials. This breakthrough could lead to the creation of new quantum materials for use in quantum computers and dissipationless electronics.
Researchers at Chalmers University of Technology have demonstrated that several qubits can share the same cable without significantly increasing computation time. This breakthrough technique could enable large-scale quantum computers with thousands of well-functioning qubits, revolutionizing fields like drug development and logistics.
Researchers at UC Irvine have developed a method to reverse 'quantum scrambling', a phenomenon that causes information loss in quantum computers. By understanding the microscopic laws underlying this behavior, they found a way to counteract it with a precisely tuned intervention.
The University of Tennessee at Knoxville has received a $300,000 NSF grant to develop quantum computing-based tools for two-step uncertainty optimization problems. This will enable researchers and industry engineers to quickly determine the potential benefits of quantum computing in solving complex decisions.
Researchers have developed a new measurement method to track the loss of information in qubits, resolving a major problem in quantum computing. The method enables fast and accurate measurements, allowing for real-time monitoring of information decay and identification of underlying causes.
A University of Sydney physicist has developed a new approach to quantum error correction that could significantly reduce the number of physical qubits required to build large-scale, fault-tolerant quantum computers. The study introduces gauge theory-inspired design for efficient processing and logical information storage.
Researchers have demonstrated a world-leading classical simulation of iterative quantum phase estimation circuits for quantum chemistry on up to 1,024 GPUs, expanding the scale of molecular systems available for the development and validation of quantum algorithms. This achievement supports progress toward industrial applications in dr...
Researchers at UMass Amherst have made a breakthrough in shrinking the size of quantum computers by integrating laser systems onto photonic chips. This technology has the potential to enable large-scale quantum computing and make optical clocks portable, with applications in fields such as deep space navigation and GPS.
Researchers developed a new technology combining ver. 3 of the STAR architecture with molecular model optimization, significantly reducing computational resource requirements for chemical material design calculations. This breakthrough enables realistic energy calculations using early-FTQC quantum computers within a practical timeframe.
The breakthrough enables complex states of light to be used in quantum computing, reducing imperfections and increasing scalability. This achievement paves the way for innovations in medicine, materials science, data management, and security.