See also stories tagged with Qubit
Understanding randomness is crucial in many fields. From computer science and engineering to cryptography and weather forecasting, studying and interpreting randomness helps us simulate real-world phenomena, design algorithms ...
Quantum computers still face a major hurdle on their pathway to practical use cases: their limited ability to correct the arising computational errors. To develop truly reliable quantum computers, researchers must be able ...
Devices taking advantage of the collective quantum behavior of spin excitations in magnetic materials—known as magnons—have the potential to improve quantum computing devices. However, using magnons in quantum devices ...
Developing technology that allows quantum information to be both stable and accessible is a critical challenge in the development of useful quantum computers that operate at scale. Research published in the journal Nature ...
Quantum computers can solve extraordinarily complex problems, unlocking new possibilities in fields such as drug development, encryption, AI, and logistics. Now, researchers at Chalmers University of Technology in Sweden ...
Quantum computers have the potential to speed up computation, help design new medicines, break codes, and discover exotic new materials—but that's only when they are truly functional.
Research at the Quantum Systems Accelerator has been steadily breaking new ground, quickening the pace toward flexible, stable quantum computers with capabilities well beyond those of today's classical machines.
Xanadu has achieved a significant milestone in the development of scalable quantum hardware by generating error-resistant photonic qubits on an integrated chip platform. A foundational result in Xanadu's roadmap, this first-ever ...
Â鶹ÒùÔºicists at the University of Oxford have set a new global benchmark for the accuracy of controlling a single quantum bit, achieving the lowest-ever error rate for a quantum logic operation—just 0.000015%, or one error ...
A team of researchers at AI Google Quantum AI, led by Craig Gidney, has outlined advances in quantum computer algorithms and error correction methods that could allow such computers to crack Rivest–Shamir–Adleman (RSA) ...
