Quantum Information Science (QIS)

Crucial Leap in Error Mitigation for Quantum Computers

Researchers at Lawrence Berkeley National Laboratory’s Advanced Quantum Testbed (AQT) demonstrated that an experimental method known as randomized compiling (RC) can dramatically reduce error rates in quantum algorithms and lead to more accurate and stable quantum computations. No longer just a theoretical concept for quantum computing, the multidisciplinary team’s breakthrough experimental results are published in Physical Review X.

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Sensing, Repeating Data May Be Up-Ended by Argonne Quantum Research, Q-NEXT

Researchers around the world are exploring how the smallest bits of matter and energy, such as atoms, electrons and photons, can relay information by making essential use of their quantum properties. These unique properties are described by a branch of physics called quantum mechanics, which was originally devised to explain phenomena at the atomic and subatomic scales, but is now central to our understanding of all matter. At the U.S. Department of Energy’s (DOE) Argonne National Laboratory, quantum information science (QIS) is a burgeoning discipline that stands to revolutionize computing, science and communication.

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Quantum Information Science Gets $61M From U.S. Department of Energy

The U.S. Department of Energy (DOE) today [August 19, 2021] announced $61 million in funding for infrastructure and research projects to advance quantum information science (QIS). QIS is the science of the extremely small, where molecules, atoms, and light can defy traditional laws of physics. Advances in QIS can enable new forms of computing, simulation, communication, and sensing that can advance breakthroughs.

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