Hybrid Reward-Driven Reinforcement Learning for Efficient Quantum Circuit Synthesis

arXiv:2507.16641v3 Announce Type: replace-cross Abstract: A reinforcement learning (RL) framework is introduced for the efficient synthesis of quantum circuits that generate specified target quantum states from a fixed initial state, addressing a central challenge in both the ...

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