Articles tagged with Quantum Information Science
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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.
A Harvard team has successfully developed a self-correcting quantum computer using neutral atom arrays, achieving near-flawless performance with extremely low error rates. The breakthrough enables the creation of large-scale, error-corrected devices based on neutral atoms.
A team of international researchers has discovered a controllable nonlinear Hall effect in twisted bilayer graphene, which holds promise for applications in new materials and quantum information industries. The nonlinear transport behaviour can be easily controlled and manipulated by adjusting the dispersion of flat bands and twist ang...
Researchers developed a new method to estimate gradients and derivatives on quantum computers, enabling faster computations. This technique can be applied to various fields such as cryptography, optimization, and materials science.
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 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.
The Nuclear Science Advisory Committee has released a new long range plan, prioritizing the capitalization of substantial research investments to advance discovery in nuclear physics. The plan recommends increasing the research budget and continuing effective operation of national user facilities.
Researchers at IBS Center for Quantum Nanoscience created a novel electron-spin qubit platform assembled atom-by-atom on a surface, demonstrating ability to control multiple qubits. This breakthrough enables application of single-, two-, and three-qubit gates.
A new study uses computer simulations to predict the formation process of spin defects in silicon carbide, an attractive host material for spin qubits. The team's findings represent an important step towards identifying fabrication parameters for spin defects useful for quantum technologies.
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 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 from USTC have used an ultra-cold atom simulator to study the relationship between non-equilibrium thermalization and quantum criticality in lattice gauge field theories. Their findings show that multi-body systems with gauge symmetry tend to thermalize more easily near quantum phase transition points.
Researchers at the University of Waterloo have created a robust method to control individual qubits made of barium, a crucial step towards building functional quantum computers. The new optical system uses laser light and precision engineering to target and control individual atoms with unprecedented accuracy.
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.
A team of Cornell researchers has found a promising quantum state called a 'quantum spin-glass' while studying random algorithms for error correction in quantum computing. This discovery could lead to new strategies for protecting qubits from environmental noise and errors.
Scientists fabricate QADs with engineered quantum hole states, exhibiting novel transport properties and unique quantum phenomena. The structures' robustness against environmental influences enables exploration of novel quantum phenomena and material technologies.
Scientists at the University of Innsbruck improved atomic clock accuracy by using finite-range interactions to create entanglement, reducing measurement errors by roughly half.
Researchers from Kyoto University have demonstrated the thermal quantum Mpemba effect in a wide range of initial conditions, where hotter quantum systems cool faster than initially colder ones. The team used a quantum dot connected to a heat bath and observed anomalous thermal relaxation at later times.
A new approach to quantum light emitters generates circularly polarized single photons, a crucial step towards quantum cryptography and information processing. The innovation uses a proximity-effect approach to produce low-cost fabrication and reliability.
Researchers have designed a new type of quantum computer that uses fermionic atoms to simulate complex physical systems. The processor can efficiently simulate fermionic models in a hardware-efficient manner using fermionic gates, making it ideal for simulating systems where fermionic statistics play a crucial role.
Researchers create more effective quantum emitters using pulsed ion beams, leading to better control over their optical properties. This breakthrough marks a step towards the development of a quantum internet and potential applications in sensing radiation.
The Enchilada Trap enables scientists to build more powerful machines for quantum computing. It can store and transport up to 200 qubits using a network of five trapping zones, enabling researchers to test architectures with many qubits.
The researcher aims to bridge completeness, efficiency, and applications in 3D graphs to solve problems in physics, fluid dynamics, and biotechnology. Geometric graphs can represent molecules, proteins, and drugs, enabling the prediction of their behavior and properties.
A team of researchers has found a way to control the interaction of light and quantum spin in organic semiconductors, even at room temperature. This breakthrough enables the creation of quantum objects with controlled spin states, which could lead to significant advancements in fields like quantum computing and sensing.
A Princeton University-led team has captured the precise microscopic behavior of interacting electrons that give rise to insulating quantum phase in magic-angle twisted bilayer graphene. The study uses scanning tunneling microscopy and achieves pristine samples, allowing for high-resolution images of materials.
Dong's research group develops unique nanocrystals that can emit light at room temperature with high efficiencies, targeting scalable quantum communication devices. By customizing the surface lattice of these nanocrystals, they aim to enhance single photon emission properties.
Theoretical physicists at Los Alamos National Laboratory have developed a new quantum computing paradigm that uses natural quantum interactions to process real-world problems faster than classical computers. The approach eliminates many challenging requirements for quantum hardware.
A new technique enables fast and efficient reconstruction of the full quantum state of entangled particles. By analyzing coincidence images, researchers can reconstruct the unknown wave function, enabling faster and more accurate characterization of quantum systems.
Researchers have developed a new measurement technique that uses the Kramers-Kronig relation to untangle complex helical light patterns from camera intensity measurements. This allows for single-shot retrieval of orbital angular momentum spectrum information, accelerating and simplifying the process compared to conventional on-axis int...
The seventh cohort of Innovation Crossroads aims to develop transformative energy technologies. Cohort 7 fellows are creating innovative solutions for plastic waste recycling, energy storage, and wind turbine blade production.
Researchers at The Hebrew University of Jerusalem developed an innovative system of 'artificial molecules' made from two coupled semiconductor nanocrystals, achieving fast and instantaneous color switching. This breakthrough enables new possibilities in displays, lighting, and nanoscale optoelectronic devices with adjustable colors.
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 novel Raman technique called thermostable-Raman-interaction-profiling (TRIP) allows for label-free and highly reproducible Raman spectroscopy measurements, breaking a 50-year-old challenge. The TRIP method enables the detection of protein-ligand interactions in real-time, potentially shortening drug and vaccine testing timelines.
Bound states in the continuum (BICs) provide a generalized approach to achieve extremely high-Q resonant cavities. BICs offer powerful mechanisms for enhancing light-matter interactions and have been explored in various photonic structures over the past few decades.
Scientists develop two novel SCAMs with enhanced stability and excellent Fe3+ sensing ability. The materials exhibit a quantum yield of up to 9.7% and exceptional stability in water, making them suitable for environmental monitoring.
Researchers achieved metropolitan quantum teleportation at a rate of 7.1 qubits per second, surpassing the classical limit and paving the way for future applications of quantum internet. The breakthrough was made possible by developing a fully running feedback system and high-performance photon detectors.
Scientists trapped ordinary photons in superconducting radio frequency cavities to search for dark photon transitions, demonstrating unprecedented sensitivity and the world's best constraint on dark photon existence. The experiment used SRF cavities with high efficiency and covered new parameter regions for dark photon mass.
Researchers discovered a close relationship between nuclear and electron dynamics, challenging the Born-Oppenheimer approximation. This breakthrough could lead to new ways to control and exploit molecular properties for solar energy conversion, quantum information science, and more.
A new theoretical study provides a framework for understanding nonlocality in quantum networks, which are essential for performing operations inaccessible to standard technology. The researchers determined the conditions necessary for creating systems with strong, quantum correlations.
Researchers designed a 2D Dirac cone photonic system with inhomogeneous effective mass, creating synthetic gauge fields that interacted with the Dirac degeneracy. This led to the formation of in-plane chiral Landau levels, which are topologically protected and robust against backscattering.
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 used a terahertz scanning near-field optical microscope to visualize the interface and connectivity of a nano Josephson Junction. The tool revealed a defective boundary in the junction that causes disruption in conductivity, posing a challenge for producing long coherence times needed for quantum computation.
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.
Researchers at PTB create a nanoscale electron collider on a semiconductor chip, enabling precise synchronization of individual electrons for time-resolved interaction. The device demonstrates the potential for generating quantum entanglement, a key component of quantum computing.
Scientists at University College Cork have discovered a spatially modulating superconducting state in UTe2, a new and unusual superconductor that may provide a solution to one of quantum computing's greatest challenges. This discovery has significant consequences for the future of computing.
A team at the University of Washington has made a breakthrough in quantum computing by detecting signatures of 'fractional quantum anomalous Hall' (FQAH) states in semiconductor materials. This discovery marks a significant step towards building stable qubits and potentially developing fault-tolerant quantum computers.
A new theoretical proof shows that overparametrization enhances performance in quantum machine learning, allowing for enhanced learning and classification tasks. The Los Alamos team developed a framework to predict the critical number of parameters at which a quantum machine learning model becomes overparametrized.
A new device from NIST scientists helps reduce noise in quantum computers by introducing a programmable toggle switch. This allows for more versatile quantum processors with clearer outputs and easier reprogramming, addressing long-standing challenges in quantum computing.
Researchers at Purdue University have demonstrated tunable moiré magnetism in twisted double bilayers of chromium triiodide, a material that can be used for spintronics. This discovery suggests a new class of material platform for spintronics and magnetoelectronics.
Researchers at Chalmers University of Technology have developed open-source software, SuperConga, to explore new superconducting properties and advance quantum computing. The program operates at the mesoscopic level, enabling simulations that can 'pick up' the strange properties of quantum particles.
Researchers investigated the dynamical evolution of EPR steering in a dissipative environment with different non-Markovian degrees, confirming the recovering ability dependent on non-Markovianity. The study reveals the influence of memory effects on EPR steering in open systems, deepening our understanding of its directional property.
Researchers identified a security vulnerability in QKD transmitter modulator devices, allowing attackers to exploit it and obtain entire key information. The team proposed solutions to mitigate risks through meticulous system design and optimized device utilization.
A team from Université libre de Bruxelles has discovered an unexpected counter-example to the common assumption that photon bunching is maximum for fully indistinguishable photons. By fine-tuning polarization, they found a way to strengthen rather than weaken bunching.
Scientists have successfully entangled atomic samples to circumvent quantum projection noise, achieving a measurement precision level of 10^-17 in optical-lattice clocks. This breakthrough improves the frequency stability of optical lattice clocks, advancing practical applications and fundamental physics research.
Researchers developed a new technique called zero noise extrapolation (ZNE) that allows noisy quantum computers to produce accurate results for specific calculations. This breakthrough could enable the use of quantum computing for cutting-edge physics problems and improve classical algorithms.
Scientists from USTC and their collaborators achieve a record-breaking point-to-point long-distance quantum key distribution of 1002 km using the twin-field QKD (TF-QKD) protocol. The achievement demonstrates the feasibility of TF-QKD at extremely long distances, enabling high-speed intercity quantum communication networks.
Scientists have developed a new dynamic probe to measure electric interactions between molecules and the environment. Using ultrashort terahertz pulses, they mapped the optical absorption of molecules in an external electric field, revealing the strength and dynamics of these forces.
Researchers have developed a quantum model that can simulate non-Markovian stochastic processes using only one quantum bit, achieving higher accuracy than optimal classical models. This breakthrough demonstrates the potential of quantum technology for complex systems modeling.
Researchers have developed a novel encoding scheme called critical Schrödinger cat code, which could revolutionize the reliability of quantum computers. This technique uses a hybrid regime to operate close to the critical point of a phase transition, resulting in enhanced error suppression capabilities.
The team used an acoustic beamsplitter to demonstrate the quantum properties of phonons, showing they can be split and create interference between two phonons. This breakthrough is a crucial step toward creating a linear mechanical quantum computer using phonons instead of photons.