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Quantum Metropolis sampling

Author

Listed:
  • K. Temme

    (Vienna Center for Quantum Science & Technology, Fakultät für Physik, Universität Wien)

  • T. J. Osborne

    (Institute of Theoretical Physics, Gottfried Wilhelm Leibniz Universität Hannover)

  • K. G. Vollbrecht

    (Max Planck Institut für Quantenoptik)

  • D. Poulin

    (Université de Sherbrooke)

  • F. Verstraete

    (Vienna Center for Quantum Science & Technology, Fakultät für Physik, Universität Wien)

Abstract

Quantum simulations Simulations of interacting particles in classical systems generally involve the Metropolis algorithm. A quantum version of this approach has been hindered by the lack of a means to simulate the equilibrium and static properties of quantum systems. Frank Verstraete and colleagues have overcome this problem. Their quantum version of the Metropolis algorithm could find widespread application in many-body quantum physics, such as computing the binding energies of complex molecules or determining hadron masses in gauge theories.

Suggested Citation

  • K. Temme & T. J. Osborne & K. G. Vollbrecht & D. Poulin & F. Verstraete, 2011. "Quantum Metropolis sampling," Nature, Nature, vol. 471(7336), pages 87-90, March.
  • Handle: RePEc:nat:nature:v:471:y:2011:i:7336:d:10.1038_nature09770
    DOI: 10.1038/nature09770
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    Citations

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    Cited by:

    1. Muhammad Junaid Umer & Muhammad Imran Sharif, 2022. "A Comprehensive Survey on Quantum Machine Learning and Possible Applications," International Journal of E-Health and Medical Communications (IJEHMC), IGI Global, vol. 13(5), pages 1-17, October.
    2. Hamza Fawzi & Omar Fawzi & Samuel O. Scalet, 2024. "Certified algorithms for equilibrium states of local quantum Hamiltonians," Nature Communications, Nature, vol. 15(1), pages 1-6, December.
    3. Evgeny Kozik, 2024. "Combinatorial summation of Feynman diagrams," Nature Communications, Nature, vol. 15(1), pages 1-8, December.

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