Reinforcement learning controls photonic circuits to prepare cubic-phase states at 96% success and directly generate quartic-phase gates with photon-number-resolving measurements.
Pfister, Continuous-variable quantum computing in the quantum optical frequency comb, Journal of Physics B: Atomic, Molecular and Optical Physics 53, 012001 (2020)
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Deep reinforcement learning for near-deterministic preparation of cubic- and quartic-phase gates in photonic quantum computing
Reinforcement learning controls photonic circuits to prepare cubic-phase states at 96% success and directly generate quartic-phase gates with photon-number-resolving measurements.