Quantum engineering of non-Gaussian resources for continuous-variable quantum computing by photon-number-resolving detection

Miller Eaton; Rajveer Nehra; Olivier Pfister

doi:10.1117/12.2594595

4 August 2021 Quantum engineering of non-Gaussian resources for continuous-variable quantum computing by photon-number-resolving detection

Miller Eaton, Rajveer Nehra, Olivier Pfister

Author Affiliations +

Proceedings Volume 11835, Quantum Communications and Quantum Imaging XIX; 1183503 (2021) https://doi.org/10.1117/12.2594595
Event: SPIE Optical Engineering + Applications, 2021, San Diego, California, United States

Abstract

Continuous-variable quantum computing (CVQC) boasts, by way of quantum optics, one of the largest scalability potentials of all quantum computing platforms. In order to enable universal CVQC, i.e., exponential speedup as well as fault tolerance, one requires quantum resources (states and/or gates) with a non-Gaussian Wigner function. We present several state preparation techniques, using photon-number-resolving detection, that enable the generation of resource states such as GKP or binomial error encodings.

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Miller Eaton, Rajveer Nehra, and Olivier Pfister "Quantum engineering of non-Gaussian resources for continuous-variable quantum computing by photon-number-resolving detection", Proc. SPIE 11835, Quantum Communications and Quantum Imaging XIX, 1183503 (4 August 2021); https://doi.org/10.1117/12.2594595

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