QuantFPFlow: Quantum Amplitude Estimation for Fokker--Planck Policy Optimisation in Continuous Reinforcement Learning

In three linesQuantFPFlow integrates quantum amplitude estimation into stochastic policy optimization via Fokker-Planck formulation. Grover-amplified achieves quadratic speedup O(1/ε) vs classical O(1/ε²). On continuous control, outperforms SAC (1295.7 vs 1284.0 reward) and finds global optimum 10.4% more frequently (33.9% vs 30.7%).

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