今週号

Volume 549 Number 7671 pp131-302

14 September 2017

表紙について

Quantum chemistry is one of the most promising applications for quantum computers. However, to date only the smallest molecular systems have been simulated experimentally by quantum hardware. In this week's issue, Abhinav Kandala, Antonio Mezzacapo and their colleagues present simulations of larger molecular systems using a variational quantum eigenvalue solver implemented on a superconducting quantum processor. Their variational quantum eigensolver is hardware-efficient, which means that it is optimally implemented on the given architecture. With this approach, they have been able to extend quantum chemical calculations to LiH and BeH2, and have also applied their technique to a problem in quantum magnetism. The errors in the implementation are understood by supporting numerical simulations, and the authors believe that the mitigation of incoherent errors would be an important step towards eventually yielding a simulation of interesting molecular systems on a quantum computer. Cover image: Carl De Torres

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    • Review of Fausto

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insight: quantum software

Insight: Quantum software

  • Programming languages and compiler design for realistic quantum hardware

    • Frederic T. Chong
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    To enable a quantum computer to solve practical problems more efficiently than classical computers, quantum programming languages and compilers are required to translate quantum algorithms into machine code; here the currently available software is reviewed.

  • Post-quantum cryptography

    • Daniel J. Bernstein
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  • Quantum machine learning

    • Jacob Biamonte
    • Peter Wittek
    • Nicola Pancotti
    • Patrick Rebentrost
    • Nathan Wiebe
    • Seth Lloyd

    Quantum machine learning software could enable quantum computers to learn complex patterns in data more efficiently than classical computers are able to.

  • Quantum computational supremacy

    • Aram W. Harrow
    • Ashley Montanaro

    Proposals for demonstrating quantum supremacy, when a quantum computer supersedes any possible classical computer at a specific task, are reviewed.

research

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    • Martyn P. Chipperfield
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    • Neil R. P. Harris
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    • Ryan Hossaini
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    • Leonid A. Mirny
    • Clodagh C. O窶儡hea
    • Peter J. Park
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    • Joan C. Ritland Politz
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Articles

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    See also
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