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Showing 1–4 of 4 results
Advanced filters: Author: Rolando Somma Clear advanced filters

  • When performing quantum simulation, oftentimes the properties of interest are only a subset of the information contained in the entire state. Here, the authors devise a different type of quantum simulation, where they work with a compressed quantum state whose amplitudes are proportional to expected values of some specific observables of interest.

    • Rolando D. Somma
    • Robbie King
    • Ryan Babbush
    ResearchOpen Access
    Nature Communications
    Volume: 16, P: 1-9

  • Direct quantum state tomography—deducing the state of a system from measurements—is mostly unfeasible due to the exponential scaling of measurement number with system size. The authors present two new schemes, which scale linearly in this respect, and can be applied to a wide range of quantum states.

    • Marcus Cramer
    • Martin B. Plenio
    • Yi-Kai Liu
    Research
    Nature Communications
    Volume: 1, P: 1-7

  • Two below-threshold surface code memories on superconducting processors markedly reduce logical error rates, achieving high efficiency and real-time decoding, indicating potential for practical large-scale fault-tolerant quantum algorithms.

    • Rajeev Acharya
    • Dmitry A. Abanin
    • Nicholas Zobrist
    ResearchOpen Access
    Nature
    Volume: 638, P: 920-926