Articles tagged with Quantum Processors
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 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 at Aalto University have demonstrated the first cyclic quantum heat engine inside a superconducting circuit, enabling technologies needed for high-qubit quantum computers. The study provides a solid proof of concept for superconducting heat engines and could reduce the cost and complexity of large-scale quantum computing.
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.
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.
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.
The Barcelona Supercomputing Center has inaugurated its third quantum computer, EuroQCS-Spain, integrating classical and digital computing with analog processing. This system enhances MareNostrum 5's capabilities, supporting European research and industry in quantum technologies.
Researchers use a single rubidium atom trapped in an optical tweezer as a scanning probe to image fine structures of light patterns with spatial resolution surpassing the diffraction limit. The technique successfully visualizes both light intensity and polarization distributions at the nanoscale.
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 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 at Virginia Tech have developed a method to reduce noise in quantum computers by using a geometric approach. By adjusting the shape of a 3D space curve, they can design pulses that suppress noise errors and improve performance. This breakthrough brings us closer to large-scale quantum computing.
E-CoRe seeks to drastically reduce digital system energy consumption via reversible computing. The four-year project will train thirteen PhD candidates and promote sustainable digital innovation in Europe.
Researchers have achieved a crucial building block for new quantum computers by realizing a novel type of quantum logic gate that works with pairs of photons in four different states, enabling new opportunities for optical quantum computing. This milestone opens up possibilities for faster calculations and improved stability.
Researchers at NTNU believe they've discovered a potential superconductor, NbRe, that can enable spin-based computing with near-zero resistance. This breakthrough has significant implications for the future of quantum technology and could lead to faster, more energy-efficient computers.
Duke University researchers have observed statistical localization in a neutral-atom platform, where most configurations of quantum bits remain effectively frozen. This phenomenon has implications for robustly storing information in a quantum system and could be a powerful feature of quantum mechanics.
Researchers at NBI developed a real-time adaptive measurement approach that tracks fluctuations in qubit energy-loss rates as they happen. This breakthrough enables faster characterization and calibration of superconducting quantum processors.
Researchers developed a new chip architecture called QARPET, which allows for the characterization of hundreds of qubits under the same operating conditions. The platform features a tiled approach to qubit measurement, making it efficient and scalable.
Researchers studied a 78-qubit superconducting quantum processor subjected to random multipolar driving. The system exhibited a long-lived prethermal regime before rapid heating, with the plateau's lifetime depending on driving frequency. Entanglement spread across the system, violating classical simulation methods.
Florida Atlantic University will be the first university in Florida to host a large, dedicated quantum computer on site, aiming to accelerate and solidify the state's position as a leader in quantum computing. The university will collaborate with D-Wave Quantum Inc. to advance quantum computing education, research, and applied innovation.
A new project aims to develop robust logical quantum bits for scalable and fault-tolerant quantum computing. The snaQCs2025 project combines innovative simulation and integration methods to compensate for error susceptibility of physical qubits, bringing quantum computing closer to practical use.
Researchers developed QSteed, a resource-virtualized and hardware-aware quantum compilation framework, to address challenges in real quantum computing processors. The framework reduces compilation times and improves circuit execution fidelities by leveraging a prebuilt VQPU database and hardware-aware compilation strategy.
A team of Australian and international scientists discovered how errors unfold over time in quantum computers, finding that errors can linger and link together. This breakthrough could lead to more reliable future quantum machines.
Researchers at Cleveland Clinic and IBM developed a hybrid quantum-classical model to simulate molecular interactions. The study accurately simulated two supramolecular systems, water dimer and methane dimer, for the first time using quantum computers.
The Princeton team designed a new qubit that lasts over 1 millisecond, three times longer than the best ever reported in a lab setting. This breakthrough enables efficient error correction and scalability for industrial systems, marking the largest single advance in coherence time in over a decade.
Engineers at the University of Delaware have developed a novel method to detect and control magnetic waves using electric signals, enabling computers to run faster and with greater energy efficiency. This breakthrough could lead to computer chips that integrate magnetic and electric components directly.
The Stowers Institute has appointed its first AI Fellow, Sumner Magruder, to harness the potential of artificial intelligence in biological research. He will collaborate with researchers to design new algorithms and unlock insights from large datasets.
The EQUALITY project developed novel quantum approaches to representing and optimising quantum circuits with regard to hardware limitations. The consortium also achieved notable scientific advances aimed at the efficient utilisation of quantum resources.
Scientists develop novel LDPC quantum error correction codes that can handle hundreds of thousands of logical qubits and approach the theoretical hashing bound. The new codes achieve extremely high decoding performance, demonstrating a frame error rate as low as 10^-4, even for large-scale numerical simulations.
Researchers created the largest qubit array with 6,100 neutral-atom qubits trapped in a grid by lasers, demonstrating improved accuracy and scalability. The team successfully maintained superposition for over 13 seconds and manipulated individual qubits with high accuracy.
A team of researchers at Simon Fraser University has created a new type of silicon-based quantum device controlled by both electricity and light. The breakthrough demonstrates an electrically-injected single-photon source in silicon, clearing a major hurdle for building a scalable quantum computer. This development holds significant po...
Researchers at University of Maryland Baltimore County harness quantum computing to address train delays, achieving promising results on hybrid tram-rail networks. Current NISQ quantum devices can solve large-scale transportation scheduling problems but require more advanced hardware.
Researchers from TUM and Google Quantum AI realize Floquet topologically ordered state, a phase predicted but never observed, using 58 superconducting qubit quantum processor. They probe the system's underlying topological properties and witness dynamical 'transmutation' of exotic particles.
A new hybrid software approach, sys-sage, facilitates collaboration between quantum and high-performance computing systems. The system can optimize task allocation and mapping to the best resources in each topology.
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.
Qubitcore will inherit OIST's research achievements to develop next-generation fault-tolerant quantum computing architectures. The company aims to drive transformative progress in the quantum era across economic, industrial, and security domains.
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 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 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 developed a novel quantum-centric supercomputing method to calculate electronic energy levels of complex molecules. This breakthrough enables faster and more accurate simulations, paving the way for advancements in fields like materials science, nanotechnology, and drug discovery.
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 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 Caltech successfully controlled the motion of individual atoms, encoding quantum information, and demonstrated hyper-entanglement in massive particles. This experiment could lead to advancements in quantum computation and precision clocks.
Researchers at U of A create a transistor that operates at speeds over 1,000 times faster than modern computer chips. The breakthrough uses quantum effects to manipulate electrons in graphene, enabling ultrafast processing for applications in space research, chemistry, and healthcare.
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 successfully simulated Google's 53-qubit Sycamore quantum circuit using sophisticated tensor network contraction techniques and advanced slicing methods. The approach reduced memory usage while maintaining computational effectiveness, enabling the simulation of complex quantum circuits with modest resources.
Researchers developed a new liquid-crystal-based platform to handle hundreds of optical modes in compact two-dimensional setups, overcoming optical losses. This breakthrough enables the scalability of quantum simulations and all-optical AI systems.
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 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.
Zuchongzhi-3 achieves quantum supremacy by outperforming classical supercomputers by 15 orders of magnitude, demonstrating the strongest quantum computational advantage in a superconducting system to date. The processor features 105 qubits and 182 couplers, with a coherence time of 72 μs and simultaneous gate fidelities exceeding 99%.
Researchers at Microsoft Quantum Lab West Lafayette advanced complex layered materials for topological quantum computing. The team accurately measured the state of quasi particles, a crucial step towards realizing a topological quantum computer.
A Microsoft team led by UC Santa Barbara physicists has developed an eight-qubit topological quantum processor, opening the door to a more stable and robust quantum computer. The chip utilizes Majorana zero modes for error correction, promising a fault-tolerant system.
Researchers successfully linked two separate quantum processors to form a single, fully connected quantum computer using photonic network interface. This breakthrough enables computations to be distributed across the network, addressing quantum's scalability problem and paving the way for industry-disrupting quantum computers.
Researchers at UChicago Pritzker School of Molecular Engineering have designed a new architecture for scaling up superconducting quantum devices. The modular design allows for flexible operability and enables the connection of any two qubits within a few nanoseconds, promoting high-fidelity quantum gates and entanglement.
Researchers used a superconducting quantum processor to study quantum transport in unprecedented detail. The experiments explored how a spin/particle current flows between two groups of qubits, revealing a unified picture of thermalisation dynamics and nonequilibrium steady dynamics.
Dr Florian Kaiser leads €3 million ERC Consolidator Grant-funded research on quantum integration, aiming to create practical applications and overcome scalability challenges in quantum technologies. The goal is to integrate quantum processors and memories on a single chip, enabling superior performance and minimal energy consumption.
Scientists at MIT developed a fully integrated photonic processor that can perform all key computations of a deep neural network optically on the chip. The device completed machine-learning classification tasks in under half a nanosecond while achieving over 92% accuracy, similar to traditional hardware.
A three-dimensional quantum error correction architecture was discovered, which can handle errors scaling like L<sup>2</sup> (LxL) in two-dimensions. This breakthrough promises to enhance the reliability of quantum information storage and reduce physical computing resources needed for 'logical qubits', paving the way for a more compact