Google scientists said Wednesday they have passed a major milestone in their quest to develop effective quantum computing, with a new study showing they reduced the rate of errors—long an obstacle for the much-hyped technology.
Quantum Physics
Feb 23, 2023
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1040
A new method allows the quantum state of atomic "qubits"—the basic unit of information in quantum computers—to be measured with twenty times less error than was previously possible, without losing any atoms. Accurately ...
Quantum Physics
Mar 25, 2019
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662
IonQ, a College Park, Maryland-based quantum computing hardware and software company has announced that it has launched its next generation quantum computer. As part of its announcement, the company is claiming that its new ...
(Phys.org) —A team of researchers working at the University of Oxford has found that quantum bits (qubits) based on trapped calcium ions can be both manipulated and fashioned to store qubits with higher fidelity than any ...
A team of computer engineers from quantum computer maker Quantinuum, working with computer scientists from Microsoft, has found a way to greatly reduce errors when running experiments on a quantum computer. The combined group ...
(Phys.org)—A team of researchers with members from France, Russia and Finland has improved on the current design of an electronic turnstile, by replacing the conventional metallic "island" with a quantum dot. In their paper ...
Sebastian Krinner is the first winner of the Lopez-Loreta Prize at ETH Zurich. The physicist has a clear goal: he wants to build a quantum computer that is not only powerful, but also works without errors.
Quantum Physics
Nov 19, 2018
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58
High-capacity optical communication can be accomplished by multiplexing multiple light-carrying orbital angular momentum (OAM) channels. However, in turbulent environments, optical scattering and 'speckle patterns' occur ...
A pair of chemists at the University of Manchester has developed a machine-learning tool that can be used to classify reactions based on simulated kinetic signatures of reactions. In their paper published in the journal Nature, ...
Researchers from Oak Ridge National Laboratory developed a novel design and training strategy for reversible ResNets that reduces the dimensionality of high-dimensional machine learning models for complex physical systems.
Mathematics
Jun 13, 2019
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8
