Quantum Approximate Optimization for Continuous Problems on a Programmable Photonic Quantum Computer

Yutaro Enomoto; Keitaro Anai; Kenta Udagawa; Shuntaro Takeda

doi:10.1364/FIO.2022.FM5B.3

Frontiers in Optics + Laser Science 2022 (FIO, LS)
Technical Digest Series (Optica Publishing Group, 2022),
paper FM5B.3
•https://doi.org/10.1364/FIO.2022.FM5B.3

Quantum Approximate Optimization for Continuous Problems on a Programmable Photonic Quantum Computer

Yutaro Enomoto, Keitaro Anai, Kenta Udagawa, and Shuntaro Takeda

Frontiers in Optics 2022

Rochester, New York United States
17–20 October 2022
ISBN: 978-1-957171-17-3

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Quantum Photonic Systems I (FM5B)

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Y. Enomoto, K. Anai, K. Udagawa, and S. Takeda, "Quantum Approximate Optimization for Continuous Problems on a Programmable Photonic Quantum Computer," in Frontiers in Optics + Laser Science 2022 (FIO, LS), Technical Digest Series (Optica Publishing Group, 2022), paper FM5B.3.

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Abstract

We demonstrate a continuous-variable version of the quantum approximate optimization algorithm on a programmable single-mode photonic quantum computer, minimizing one-variable continuous functions. The results highlight the potential of continuous-variable quantum computing in near-term applications.

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