Articles tagged with Quantum Computing
Researchers at UC Irvine and Los Alamos National Laboratory have discovered a way to transform glass-like materials into conductors for use in quantum computers. By applying controlled strain to atomic structures, they can create materials with unique electrical properties.
West Virginia University engineer Yuhe Tian is developing powerful artificial intelligence tools that can reimagine the sustainability of chemical manufacturing. She aims to harness quantum intelligence to innovate environmentally friendly chemical plant designs.
Physicists at the University of Colorado Boulder have discovered a way to create scenarios where information can remain stable in quantum computer chips, potentially leading to advances in quantum computing. The team's findings could also influence other fields, such as materials science and engineering.
A study by Lancaster University forecasts exponential growth in Artificial Intelligence over the next 15 years, with experts warning of corners being cut in safe AI development. The experts also predict that advances in technology will make it harder to distinguish truth from fiction, with potential ramifications for democracies.
Researchers at Rice University have developed a new experimental technique that preserves quantum coherence in ultracold molecules for a significantly longer time. By using a specific wavelength of light, the 'magic trap' delays the onset of decoherence, allowing scientists to study fundamental questions about interacting quantum matter.
Quantum Research Sciences has developed a quantum computer software that achieves 28% improved accuracy over classical computers in predicting optimal inventory levels. The software will be used by the US Air Force to manage its supply chain, reducing costs associated with excess or inadequate inventory.
Researchers used quantum support vector machines to classify flow separation and angle of attack with increased accuracy, solving complex problems faster and more accurately than classical methods.
Researchers at Paul Scherrer Institute created solid-state qubits from rare-earth ions in a crystal, showing that long coherences can exist in cluttered environments. The approach uses strongly interacting pairs of ions to form qubits, which are shielded from the environment and protected from decoherence.
Researchers at Hiroshima University have found that quantum systems exhibit contextual behavior, where measurements change the results, rather than particles separating from their properties. This discovery sheds light on the counterintuitive nature of quantum mechanics and may lead to practical applications in quantum computing.
A University of Oxford study has used machine learning to bridge the 'reality gap' between predicted and observed behavior in quantum devices. The approach enables accurate predictions and informs compensation approaches to mitigate unwanted effects of material imperfections.
MIT researchers successfully produced a miniaturized quadrupole filter using additive manufacturing, achieving precision comparable to commercial-grade filters at a fraction of the cost and weight. This breakthrough enables the development of portable mass spectrometers for rapid chemical analysis in remote settings.
Entanglement is crucial for quantum computing, and researchers have proposed a condition to maximize it. The study, published in Physical Review B, uses the Hellmann-Feynman theorem as a reference point to explore finite temperature and quantum critical points.
A Harvard University research team has demonstrated a new strategy for making and manipulating cuprate superconductors, clearing a path to engineering new forms of superconductivity. The team created a high-temperature, superconducting diode made out of thin cuprate crystals using a low-temperature device fabrication method.
Researchers explore quantum optical technology to solve scalability and accuracy issues in quantum computing, aiming to develop new drugs faster and more efficiently. Photon-based systems offer a solution by reducing physical components, increasing opportunities for scaling and stability.
Embedding nanodiamonds in polymer can advance quantum computing and biological studies. The technique, developed at the University of São Paulo, enables integration of quantum emitters into photonic devices and cell marking applications.
Researchers at UNICAMP developed a new technology to create bridges between superconducting circuits and optical fibers, enabling efficient transmission of information in the electromagnetic spectrum. This breakthrough paves the way for the development of advanced quantum networks with potential applications in computing and communicat...
A Harvard University team has created the world's first logical quantum processor, which can encode up to 48 logical qubits and execute hundreds of gate operations. This breakthrough is a significant step toward reliable quantum computing and fault-tolerant quantum computation.
The research team created a mathematical model showing that no clock can have both infinite energy and perfect time resolution, setting limits to quantum computer capabilities. This realization impacts the speed and reliability of quantum computers, as current accuracy is limited by other factors.
Researchers successfully trapped electrons in a three-dimensional material, creating an electronic flat band that can lead to exotic behavior such as superconductivity. The kagome-inspired geometry of the crystal allows for stable trapping of electrons in all three dimensions.
Researchers found that tiny timing errors can significantly impact quantum algorithms, limiting the technology's potential. Despite promising applications in fields like pharmaceutical discovery and materials science, quantum computers' fragility hinders their scalability.
A study using QUBO approach simulates dense polymer mixtures with significantly improved performance on both quantum and conventional computers. This breakthrough enables researchers to discover surprising properties of simulated polymer systems.
Cleveland Clinic is selected by Wellcome Leap to lead two quantum computing research projects in collaboration with IBM Quantum and Algorithmiq. The projects aim to accelerate the development of quantum computing applications for healthcare, with a focus on protein structure prediction and photon-drug interactions in cancer treatment.
The project, funded by a $927,203 grant, uses virtual reality and machine learning to identify misconceptions in quantum information science. UCF will develop desktop and smartphone versions of QubitVR for broader impacts, aiming to empower students and professionals to harness the power of quantum computing.
A team of researchers at Penn State has developed a new electrical method to control the direction of electron flow in promising materials for quantum computing. This method, which uses a 5-millisecond current pulse, impacts the internal magnetism of the material and causes electrons to change directions.
Researchers have discovered a rare electronic state in five-layer graphene, exhibiting both unconventional magnetism and ferro-valleytricity. This multiferroic state could enable ultra-low-power, high-capacity data storage devices for classical and quantum computers.
Researchers at the University of Cambridge have shown that simulating models of hypothetical time travel can solve experimental problems in quantum metrology. By manipulating entanglement, they can retroactively change past actions to improve outcomes in the present. The simulation has a 75% chance of failure but provides valuable insi...
A team of researchers has made the first demonstrations of identifying and removing 'erasure' errors in quantum computing systems. By pinpointing and correcting for these mistakes, they can improve the overall rate of entanglement, or fidelity, in Rydberg neutral atom arrays.
Researchers have developed a method to reveal error locations in quantum computers, reducing correction time by up to ten times. The new approach uses real-time measurement to detect errors, converting them into erasure errors that can be easily corrected.
Researchers at Tokyo University of Science have discovered a method to generate molecular ions from an ionic crystal by bombarding it with positrons. This breakthrough could lead to new applications in materials science, cancer therapy, and quantum computing.
Researchers from Tokyo Institute of Technology have successfully tested quantum annealing on a D-Wave 2000Q quantum computer for optimizing continuous-variable functions. The study found that QA can significantly outperform state-of-the-art classical algorithms, especially when the energy barrier is high.
A team of researchers reviewed the superconducting diode effect, which enables dissipationless supercurrent flow in one direction. The study highlights potential applications for quantum technologies in both classical and quantum computing.
Researchers create an ultrafast quantum simulator that can simulate large-scale quantum entanglement on a timescale of several hundred picoseconds. By applying their novel ultrafast quantum computer scheme, they overcome the issue of external noise and achieve high speed and accurate controls.
Researchers developed a novel optimization method combining natural evolutionary strategy with gradient descent to overcome the barren plateau problem in parametric quantum circuits. The new method exhibited superior performance in achieving higher accuracy, showcasing its potential for revolutionizing quantum algorithm optimization.
Researchers at MIT have developed a novel superconducting qubit architecture that can perform operations between qubits with high accuracy, exceeding 99.9% for two-qubit gates and 99.99% for single-qubit gates. The new design utilizes fluxonium qubits, which have longer lifespans than traditional transmon qubits.
Researchers developed an entanglement witness circuit to detect qubit entanglement in cloud-based services, overcoming limitations and enabling users to test for entangled qubits. The new framework EW 2.0 is twice as efficient at detecting entanglement.
A new approach for coupling different light modes enables unprecedented data transfer rates in an MDM system. By using a gradient-index metamaterial waveguide, researchers achieved a high coupling coefficient and created a 16-channel MDM communication system with a data transfer rate of 2.162 Tbit/s.
Researchers have demonstrated a way to perform Bell-state measurements with an efficiency exceeding the commonly assumed upper theoretical limit. This breakthrough opens up new perspectives for photonic quantum technologies and could lead to more efficient quantum computing, communication, and sensor devices.
Rice University researchers have been awarded a 4-year, $1.2 million grant from the Department of Energy to evaluate different physical systems used to build quantum computers. The project aims to provide a framework for comparing the viability and computational potential of various approaches to building quantum computers.
Researchers have generated nearly deterministic OAM-based entangled states using QDs, enabling hybrid entanglement states in high-dimensional Hilbert spaces. This breakthrough offers a bridge between photonic technologies for quantum advancements.
Researchers from RIKEN Center for Quantum Computing have used machine learning to perform efficient quantum error correction using an autonomous system that can determine the best corrections despite being approximate. Machine learning plays a crucial role in addressing large-scale quantum computation and optimization challenges.
A team of researchers at Princeton University has developed a new approach to building quantum repeaters, which are necessary for connecting quantum devices over long distances. The new device sends high-fidelity quantum information through fiber optic networks, enabling enhanced security and connections between remote quantum computers.
A team of researchers has discovered a particularly efficient molecular structure for solar energy storage materials, which could lead to more efficient solar energy harvesting. The new molecules were identified by screening over 400,000 molecules with the help of machine learning and quantum computing.
A team of experts has developed a tool to characterise quantum operations and compare the capabilities of quantum computers with classical computing power using random test sequences. This allows for statistical analysis and benchmarking of quantum computer performance.
Researchers at Duke University used a quantum computer to measure the geometric phase in light-absorbing molecules, which puts limitations on molecular transformations. This breakthrough allows for direct measurement of a long-standing fundamental question in chemistry, critical to processes like photosynthesis and vision.
Researchers at the University of Sydney have successfully slowed down a simulated chemical reaction by a factor of 100 billion times using a quantum computer. This achievement allows for direct observation of previously inaccessible processes, enabling breakthroughs in fields like materials science and drug design.
The ReACT-QISE Consortium aims to create a diverse workforce of quantum engineers, with UIC leading a $4.8 million three-year initiative funded by the DOE RENEW Initiative. The consortium will introduce students to key concepts in physics and computer science, and support the creation of new degree programs and research experiences.
Researchers at EPFL develop a superconducting circuit optomechanical platform with ultra-low quantum decoherence, enabling high-fidelity quantum control and long-term quantum storage. The breakthrough achieved record-breaking thermal decoherence rates of only 20 Hz.
Researchers at Q-MEEN-C discovered non-locality in quantum materials, allowing for complex interactions and memory-like functionality. This breakthrough enables simpler and more efficient devices that mimic brain functions, potentially surpassing current AI capabilities.
The Department of Energy's Office of Science has selected five Oak Ridge National Laboratory scientists for the Early Career Research Program. The awardees include Matthew Brahlek, Jack Cahill, Eugene Dumitrescu, and two additional researchers. Their research focuses on creating new chiral systems, elucidating genes associated with bio...
Researchers have found that certain materials can exhibit D-wave effects, entangled with other quantum states, allowing for efficient coupling at higher temperatures. This breakthrough bridges condensed matter physics subfields and could enable practical applications of quantum computing.
A team of researchers has found a way to control the spin density in diamond by applying an external laser or microwave beam. This technique could enable the development of more sensitive quantum sensors and improve the sensitivity of existing nanoscale quantum-sensing devices.
A Japanese research team has developed a technique that could lead to a new paradigm for genomic analysis using quantum computers. The breakthrough involves identifying single nucleotides, a crucial step toward creating a molecular sequencer of DNA.
Fei Wang is conducting research on developing efficient quantum algorithms to simulate condensed phase quantum dynamics on quantum computers. The project aims to show quantum acceleration and demonstrate practical applications of quantum computing in materials design and environmental sustainability. The researcher will explore various...
A German-Chinese research team has successfully created a quantum bit in a semiconductor nanostructure by exciting a superposition state with two short-wavelength optical laser pulses. This achievement demonstrates coherent control of a high-orbital hole in a semiconductor quantum dot.
A hybrid quantum-classical machine-learning model was used to generate novel chemical structures for potential drugs, suggesting unique compounds with biologically active properties. The system successfully proposed 2,331 novel molecules with high novelty, paving the way for a dramatic acceleration of drug discovery.
A joint research team has developed a novel approach combining machine learning with quantum-classical computational molecular design to accelerate the discovery of efficient OLED emitters. The optimal OLED emitter discovered is a deuterated derivative of Alq₃, which is both extremely efficient at emitting light and synthesizable.
Researchers at Cornell University have discovered and visualized a crystalline yet superconducting state in Uranium Ditelluride (UTe2), a previously unknown state of topological quantum matter. This 'spin-triplet electron-pair crystal' exhibits a new form of electronic quantum matter called Cooper-pair density waves.
A new technique allows for the precise growth and placement of halide perovskite nanocrystals, enabling the creation of functional nanoscale devices such as nanoLEDs. This breakthrough could lead to applications in optical communication, computing, and display technology.
Songtao Chen, an assistant professor at Rice University, has won a prestigious NSF CAREER Award to study the interaction between photons and T center qubits. The research aims to address signal-loss during transmission, which is crucial for large-scale implementation of quantum communication.
Researchers at EPFL have found a way to teach quantum computers to learn and process information using principles inspired by quantum mechanics. By training quantum neural networks (QNNs) on a few simple examples called 'product states', the computer can effectively grasp complex dynamics of entangled quantum systems.