Articles tagged with Quantum Computing
Physicist Yongtao Cui will develop advanced experimental techniques to probe collective modes in 2D materials, aiming to understand fundamental principles governing novel electronic phases. The grant will also support graduate students and postdoctoral researchers, training the next generation of quantum scientists.
Researchers from Paderborn University and partners have developed a new method to generate photons that are virtually indistinguishable, paving the way for more efficient quantum communication. The breakthrough utilizes semiconductor nanostructures to produce high-quality photons with an 90% indistinguishability rate.
The Peninsula Innovation District, a collaboration between the University of Tennessee and UT Medical, has received the 2026 Emerging Community of Innovation award. The award recognizes the district's potential for continued growth and its commitment to building sustainable ecosystems that move technology from early-stage ideas toward ...
A collaborative group of researchers has demonstrated charge sensing, high-frequency reflectometry, and the formation of a few-electron double quantum dot in a ZnO device. This breakthrough bridges a critical experimental gap for zinc oxide quantum devices, enabling the investigation of fundamental spin properties.
Physicists at University of Toronto have identified 'octupolar' magnetism, a complex form of magnetism with eight poles, using light to probe atomic vibrations. This discovery opens up new avenues for quantum technology development, including controllable memory elements and computing devices.
Weiw Wen Jiang is building a reusable and scalable training program that combines rigorous instruction, hands-on practice, and health care-relevant applications, positioning participants to contribute to the national quantum workforce.
Researchers identified fundamental limits on quantum batteries' reliability, balancing power and stable energy delivery. Intermediate-range interactions charging scheme can provide a useful compromise between high power and stable operation.
The 13th Heidelberg Laureate Forum discussed AI's impact on mathematics, with mathematicians debating its benefits and drawbacks. The forum also covered topics such as quantum threats, trustworthy computation, and the role of mathematics in society.
Florida International University will become the first university in Florida to acquire a full-stack, trapped-ion quantum computer, thanks to an agreement with IonQ. The Superion 256 quantum computer is expected to arrive in late 2027, adding to the state's emerging quantum computing capabilities.
A key-decoupled circuit-model blind quantum computation protocol enhances privacy protection in delegated quantum computing while reducing operational burden. The protocol uses independent encryption and decryption keys to conceal the target operation within its Pauli equivalence class.
Robert Loredo's new book, 'Quantum Readiness for Leaders,' offers a practical guide for business and technology leaders to navigate the opportunities and challenges of quantum technology. The book provides frameworks for evaluating quantum opportunities, building quantum teams, and preparing security architectures.
This technology features arrays of single-erbium ion qubits embedded in silicon-based hollow nanopillars, enabling high-performance, room-temperature quantum sensing and communication. It demonstrates record-long optical coherence times in the telecom C-band, exceeding 500 μs at ambient conditions.
The SUNY Technology Accelerator Fund is providing grants to support research in AI, energy-efficient semiconductors, and non-invasive monitoring. Five campuses will receive funding for projects that could improve cancer diagnostics, circadian rhythm disorders, and burn diagnostics.
Researchers have proposed a superfluid helium-based qubit design that could reduce error rates by 100 times, making it more resilient to electromagnetic noise. The SHOQ device could work alongside existing superconducting technologies, enabling a hybrid quantum system with improved performance.
Researchers at Chalmers University of Technology have developed a new method for performing advanced quantum operations significantly faster and more efficiently. This breakthrough addresses a well-known bottleneck in quantum computing and paves the way for fault-tolerant quantum computing.
A quantum LDPC code with a large minimum distance near 48 protects 4,612 logical qubits using 9,216 physical qubits, reducing hardware overhead. The code's design framework, inspired by classical LDPC codes, allows for strong evidence of a minimum distance and threshold phenomenon.
A team led by Jacob Covey has developed a new design for high-powered, stable quantum computers using helium-3, an isotope with fermionic quantum properties. This design offers a major advance over previous lithium-based designs, with faster tunneling rates and controllable motional qubits.
Researchers Ahmedullah Aziz and Sai Swaminathan received NSF CAREER Awards for their projects in superconducting logic systems and AI for community impact. Aziz will develop superconducting electronics for high-performance computing, while Swaminathan is creating low-cost AI devices for local problem-solving.
A multiplexed quantum photonic interface has been demonstrated for neutral-atom quantum computers, enabling parallel photon delivery and detection from a neutral-atom array. The technology supports the scale-up to approximately 100 parallel channels and represents an important step toward networked quantum computers.
Researchers at PolyU have engineered a novel tunnelling field-effect transistor using 2D nanomaterials, breaking through the 60 mV decade’ boundary to create ultra-low-power, high-performance ICs essential for emerging AI chips. The breakthrough paves the way for energy-efficient computing and next-generation AI chips.
NY Creates will receive $1.25 million to support research, technology scaling, and workforce development in quantum computing. The institute aims to overcome significant barriers to practical quantum computing by developing techniques for fabricating hardware and education programs.
Four assistant professors, Yahong Yang, Sammy Luo, Lebing Chen, and Kunyan Zhang, join Binghamton University as Simons Empire Faculty Fellows, bringing expertise in quantum materials and artificial intelligence. Their research focuses on developing new technologies, including energy-efficient systems and next-generation sensing platforms.
Researchers from the University of Osaka have developed a prediction framework that rapidly evaluates promising quantum materials without sacrificing accuracy. The framework enables the evaluation of optical losses using simplified theoretical expressions, making searches much more tractable.
The University of Illinois-led NSF HQAN has been renewed for a second phase with $37.5 million in funding to develop an industry-ready pathway for implementing modular principles in quantum computing. The center has made significant technical achievements and is building a quantum workforce through educational programs.
The partnership between SUNY Stony Brook and Brookhaven National Laboratory extends New York State's quantum communications network, enabling new discoveries across various industrial sectors, bolstering research and cybersecurity. The expansion aims to improve computer operations and unlock new opportunities to improve New Yorkers' li...
Shunkai, developed by Professor Kenji Ohmori's team, integrates multiple layers for practical quantum computing, overcoming scalability and error correction challenges. The system uses 50 qubits initially, with plans to expand to 500 qubits, and will be partially open to external users for application development and demonstration.
Researchers at FAMU-FSU College of Engineering and National High Magnetic Field Laboratory have designed a new quantum computing architecture using magnetic levitation to address design flaws in qubits. The design preserves the advantages of electron-on-neon qubits while removing randomness, making it more reproducible and scalable.
MIT researchers have overcome a major challenge holding back the real-world deployment of microwave quantum technologies. They developed a scalable platform that generates pairs of highly correlated radio frequency waves at room temperature, enabling secure communications and high-precision radar and sensing.
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.