Quantum Approximate Optimization for Continuous Problems on a Programmable Photonic Quantum Computer
Yutaro Enomoto, Keitaro Anai, Kenta Udagawa, Shuntaro Takeda · Frontiers in Optics + Laser Science 2022 (FIO, LS) · 2022
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.