Articles tagged with Qubits
A new algorithm called Variational Fast Forwarding (VFF) can simulate quantum systems for longer periods than current quantum computers can handle. This allows scientists to tackle complex problems that were previously unsolvable due to decoherence, which degrades quantum coherence.
Physicists at Aalto University have developed a new detector that can measure energy quanta with unprecedented resolution, overcoming limitations in current state-of-the-art detectors used in quantum computers. The graphene bolometer achieves speeds of well below a microsecond and higher theoretical accuracy than voltage measurements.
Researchers have created a new material that induces topological superconductivity in the absence of an applied magnetic field, opening up new possibilities for quantum computing. This breakthrough could lead to better understanding and applications in medicine, catalysts, or materials.
A new protocol allows for the protection and correction of fragile quantum information in case of qubit loss, addressing a crucial issue in quantum computing. This breakthrough could prove essential for future large-scale quantum computer development.
Researchers have developed techniques to detect and correct loss of qubits in real-time, protecting fragile stored quantum information. The approach combines quantum error correction with correction of qubit loss and leakage, enabling robust quantum computing.
The European project SEQUENCE is developing electronic devices and circuits compatible with low temperature operation for scaling up quantum computers. The project combines Si CMOS, III-V, and 3D integration technologies to support superconducting and spin qubit-based quantum computing.
Researchers at Tohoku University have developed a new quantum technology that allows qubits to hold information for 10 milliseconds, 10,000 times longer than the previous record. This breakthrough has significant implications for the development of large quantum computers.
Researchers at Caltech demonstrate a molecular approach to quantum computing that leads to fewer errors, using molecules instead of atoms. The method involves rotating molecules in superposition, allowing for simultaneous correction of orientation and angular momentum shifts, which are prone to causing errors.
The Co-Design Center for Quantum Advantage (C2QA) will develop quantum technologies to serve as the platform for future computing innovations. Princeton faculty members, including Andrew Houck and Nathalie de Leon, will lead major leadership roles in the center.
Researchers at MIT have found that cosmic rays and low-level environmental radiation can cause decoherence in superconducting qubits, limiting their performance. This effect could limit the practicality of quantum computing within a few years, prompting scientists to explore shielding or design improvements.
A multidisciplinary research team found that low-level ionizing radiation degrades superconducting qubit performance. To maintain coherence and achieve practical quantum computing, radiation shielding will be necessary. Researchers emphasize the need to exclude radiation-emitting materials and consider underground experimental setups.
The team created a new routing algorithm that allows qubits to directly interact with many more qubits, giving rise to higher expected computational power. This approach outperforms the 'superconducting' devices in calculating the expected computational power.
A University of Arizona team advances low-density parity check codes for quantum computers, enabling fault-tolerant and ultra-fast computation. The development is crucial for solving complex equations and analyzing phenomena that classical computers can't handle.
Yale physicists have developed an error-correcting cat, a quantum device that encodes information in a single physical system to suppress phase flips. The device uses a clever way to encode information, allowing it to prevent errors and correct them on command.
Researchers at MIT and Sandia National Laboratories have developed a hybrid approach to fabricate large-scale quantum chips using diamond-based qubits and quantum photonics. The new method enables the creation of complex quantum devices with reliable circuits for transmitting and manipulating quantum information.
MIT researchers develop an on-off system that allows for low-error quantum computations and rapid sharing of quantum information between processors. The system uses 'giant atoms' made from superconducting qubits, enabling high-fidelity operations and interconnection between processors.
Researchers have demonstrated coherence times up to 10,000 times longer than previously recorded for spin-orbit qubits, making them an ideal candidate for scaling up silicon quantum computers. Strong spin-orbit coupling is key to achieving stable qubits and robust quantum information.
Researchers at MIT have developed a hybrid process to manufacture and integrate 'artificial atoms' with photonic circuitry, producing the largest quantum chip of its type. The process enables scalable production of millions of quantum processors needed for quantum computers.
Researchers at USTC successfully control spin qubit lifetime by tuning the external magnetic field direction, improving it by over two orders of magnitude. The breakthrough opens up new directions for optimizing readout and multi-qubit extension of silicon-based spin qubits.
Researchers from the University of Rochester and Purdue University have successfully demonstrated quantum teleportation using electrons, paving the way for future research on this technology. The technique involves entangled pairs of electrons, which can be used to transmit information in semiconductors.
Researchers adapt robotics techniques to efficiently assess quantum device performance, stabilizing the emerging technology. This innovative approach outperforms simplistic characterisation in complex simulated environments.
Researchers developed a new computational tool to predict spin dynamics in materials, enabling rapid design and identification of suitable materials for quantum computing applications. The approach has been applied to various materials, including silicon, iron, graphene, molybdenum disulfide, and gallium nitride, with promising results.
Researchers at Columbia University have developed a high-performance non-reciprocal device on a compact chip, achieving performance 25 times better than previous work. This breakthrough enables the creation of novel components such as circulators and isolators for two-way communication, doubling data capacity in wireless networks.
Physicists at NIST successfully entangled a charged molecule and an electrically charged atom, showcasing a way to build large-scale quantum computers and networks. This breakthrough enables versatile quantum information systems by connecting quantum bits based on incompatible hardware designs.
Researchers at UCLA have developed a new qubit with nearly ideal properties, enabling ultra-low error rate quantum devices. This breakthrough should impact various areas of quantum information science, paving the way for large-scale NISQ devices.
A team of researchers from Tokyo University of Science proposes a novel solution to the qubit accessibility problem in quantum computing. They design a modified superconducting micro-architecture that simplifies the wiring system by arranging qubits in a 2D bi-linear array, reducing crosstalk and increasing efficiency.
Researchers have developed a new approach to speed up trapped ion quantum computing using giant Rydberg ions, increasing computational capacity exponentially. The experimental work confirms that the system can scale up without slowdowns, enabling large-scale quantum computation.
Researchers at UNSW Sydney have developed a proof-of-concept quantum processor unit cell that works at 1.5 Kelvin, 15 times warmer than previous designs, allowing for affordable and real-world business applications. This breakthrough addresses one of the biggest constraints to practical quantum computers.
A team at NIST has developed an AI system that can auto-tune quantum dots for creating functional qubits, overcoming a major engineering hurdle. The system uses machine learning to recognize images of quantum dot measurements and make precise adjustments.
Researchers have developed a novel error-correction scheme that takes advantage of bosonic symmetry to encode information efficiently. This approach could reduce the number of physical qubits required, enabling the scaling up of experimental quantum computers.
A team at Tokyo Medical and Dental University demonstrates a new method to increase the lifetime of qubits, enabling faster cycle times and reduced noise. This could lead to practical quantum computing applications in fields like finance and chemistry.
The University of California, Riverside, has been awarded $3.75 million to lead a collaborative effort in developing scalable quantum computers. The project aims to establish a novel platform for quantum computing that can scale up to many qubits, overcoming current limitations.
Researchers highlight successes and challenges of quantum computing in the NISQ era, a period where quantum computers approach evidence of quantum supremacy. Key findings include the development of new strategies to reduce measurement errors and the demonstration of programmability on quantum computers.
Scientists at Japan Science and Technology Agency developed a method to couple a magnetic sphere with a sensor using quantum entanglement, enabling single-shot detection of magnetic excitations. The device's sensitivity is comparable to that of theoretical dark-matter particles, opening new avenues for research.
Researchers from UNSW Sydney have created artificial atoms in silicon chips that provide improved stability for quantum computing. The artificial atoms, with shells of electrons whizzing around the centre, offer robust qubits that can be reliably used for calculations.
Researchers created and imaged a novel pair of coupled quantum dots, which could serve as robust quantum bits for a quantum computer. The patterns of electric charge in the islands cannot be fully explained by current models of quantum physics, offering an opportunity to investigate new physical phenomena.
Researchers at Princeton University have successfully established a long-distance relationship between two silicon quantum bits, paving the way for more complex calculations and potentially cheaper quantum computers. The breakthrough uses light-based communication to transmit messages between qubits on a computer chip.
Researchers successfully demonstrated quantum supremacy by harnessing Google's Sycamore quantum computer and ORNL Summit supercomputer, showcasing the power of quantum computing for solving complex tasks. The experiment outperformed the classical system by a significant margin, providing critical information for future quantum computers.
Researchers used 53 entangled qubits to solve a complex problem that would take 10,000 years on a classical supercomputer. The feat showcases the power of quantum computing and has significant implications for cryptography, machine learning, and materials science.
Researchers at Georgia Institute of Technology developed Ensemble of Diverse Mappings (EDM) to improve quantum computer reliability. By combining output probability distributions of diverse ensemble, EDM amplifies correct answer by suppressing incorrect ones.
Scientists have found a superconducting material, β-Bi2Pd, with properties suitable for quantum computing. This discovery may lead to the development of topological quantum computers and more powerful AI systems.
Researchers from Oxford, Basel, and Lancaster develop an algorithm that uses machine learning to automate the process of characterizing quantum dots. By reducing measuring time and number of measurements, this approach enables efficient characterization of large arrays of quantum devices.
Researchers demonstrate a method of transferring the state of electrons, a crucial step towards creating effective quantum computers. This achievement brings scientists one step closer to unlocking the full potential of quantum computing.
Scientists have discovered a way to manipulate the electronic properties of tungsten disulfide, a super-thin material, by controlling its energy valleys. This innovation could potentially be used for encoding quantum data and enabling the creation of qubits for quantum computing.
A new device demonstrates how p-bits can perform calculations traditionally done by quantum computers, with potential applications in fields like drug research, cybersecurity, and data analysis. Hundreds of p-bits could be used to solve larger problems in the near future.
The researchers used acoustic waves in a classical environment to demonstrate nonseparability without the time limitations and fragility of quantum information processing. This approach has the potential to bring significant improvements in data processing efficiency and stability.
Researchers have developed a new tool to detect non-Gaussian noise affecting qubits, which can cause decoherence and destroy their fragile quantum state. By analyzing the noise patterns, scientists hope to gain insights into microscopic mechanisms and develop more effective methods to protect qubits from specific types of noise.
Researchers from Dartmouth College and MIT successfully detect and characterize complex non-Gaussian noise processes in superconducting quantum computing systems. This breakthrough advances the development of more precise qubit systems, which is essential for building scalable and high-performing quantum computers.
Researchers at Rice University found a way to safeguard quantum bit information by studying the behavior of heavy fermions in extreme cold and magnetic fields. The discovery provides a new approach to minimize decoherence, a major concern in qubit design.
Scientists have discovered a superconductor that can resist quantum decoherence, allowing for longer qubit lifetimes and more efficient quantum logic circuits. The material, uranium ditelluride (UTe2), has unique properties that make it attractive for building quantum computers.
Scientists have created a new record by entangling 20 quantum bits in a 'Schrödinger's cat' state, exceeding the previous limit of 14 qubits. The team used a programmable quantum simulator to control and manipulate the qubits, demonstrating the potential for quantum technologies.
A Berkeley Lab-led team used quantum annealing to solve a tough math problem that stumps even the world's most powerful supercomputers. The algorithm can evaluate multiple variables simultaneously and return the correct solution, potentially revolutionizing fields like systems engineering and operations research.
Scientists have successfully imaged an exotic quantum particle called a Majorana fermion, which can be used as a building block for future qubits and the realization of quantum computers. This achievement brings researchers closer to developing robust qubits and ultimately building quantum computers.
Researchers create device that exploits quantum principles to detect phonons, enabling precise measurement of individual sound particles and paving the way for new types of quantum devices. This breakthrough could lead to more compact and efficient quantum computers that operate by manipulating sound rather than light.
A team of researchers led by Professor Michelle Simmons has achieved a major milestone in building an atom-scale quantum computer, demonstrating the fastest two-qubit gate in silicon. The breakthrough involves placing two atom qubits closer together than ever before and controlling their spin states in real-time.
Researchers at the University of Utah discovered that as the insulating layers of a topological insulator get thinner, its metallic surfaces start influencing each other and losing their conductivity. The study found that this phenomenon occurs at an insulating layer thickness of around 16 quintuple atomic layers across.
The new design achieves around 95% indistinguishability and three times higher efficiency than traditional cavities. It enables the production of high-quality single photons necessary for practical quantum computing, solving problems intractable for classical computers.
For the first time, researchers have measured the fidelity of two-qubit logic operations in silicon with highly promising results. The study demonstrates an average two-qubit gate fidelity of 98%, paving the way for scaling up to a full-scale quantum processor.
Researchers have developed a new device that exhibits topological superconductivity in planar structures, a key step towards scaling up quantum computing. This breakthrough combines semiconductor and superconductor materials to create a robust technology that could aid the development of fault-tolerant quantum computers.
A team of Sydney researchers has achieved a world-record result in reducing errors in semiconductor electron 'spin qubits', a crucial step towards building useful quantum computers. The result, published in Nature Electronics, demonstrates error rates as low as 0.043 percent.