Training Hybrid Quantum Policies with Classical Surrogates for Actor-Critic Reinforcement Learning

Reading out a parametrized quantum circuit through finite-shot measurements introduces a discrete stochastic component into hybrid quantum-classical neural networks, making gradient-based training inefficient. In this work, we introduce a surrogate-assisted actor-critic method for training hybrid qu