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Synergies Between Operations Research and Quantum Information Science

Author

Listed:
  • Ojas Parekh

    (Quantum Algorithms and Applications Collaboratory (QuAAC), Sandia National Laboratories, Albuquerque, New Mexico 87185)

Abstract

This article highlights synergies between quantum information science (QIS) and operations research for QIS-curious operations researchers (and vice versa), and the author challenges the community to discover more.

Suggested Citation

  • Ojas Parekh, 2023. "Synergies Between Operations Research and Quantum Information Science," INFORMS Journal on Computing, INFORMS, vol. 35(2), pages 266-273, March.
    • Handle: RePEc:inm:orijoc:v:35:y:2023:i:2:p:266-273
    DOI: 10.1287/ijoc.2023.1268
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    References listed on IDEAS

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    1. Frank Arute & Kunal Arya & Ryan Babbush & Dave Bacon & Joseph C. Bardin & Rami Barends & Rupak Biswas & Sergio Boixo & Fernando G. S. L. Brandao & David A. Buell & Brian Burkett & Yu Chen & Zijun Chen, 2019. "Quantum supremacy using a programmable superconducting processor," Nature, Nature, vol. 574(7779), pages 505-510, October.
    2. Lars S. Madsen & Fabian Laudenbach & Mohsen Falamarzi. Askarani & Fabien Rortais & Trevor Vincent & Jacob F. F. Bulmer & Filippo M. Miatto & Leonhard Neuhaus & Lukas G. Helt & Matthew J. Collins & Adr, 2022. "Quantum computational advantage with a programmable photonic processor," Nature, Nature, vol. 606(7912), pages 75-81, June.
    3. Jacob Biamonte & Peter Wittek & Nicola Pancotti & Patrick Rebentrost & Nathan Wiebe & Seth Lloyd, 2017. "Quantum machine learning," Nature, Nature, vol. 549(7671), pages 195-202, September.
    4. David Matthews, 2021. "How to get started in quantum computing," Nature, Nature, vol. 591(7848), pages 166-167, March.
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