Author

John Carlson

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Reinforcement Learning for Compiled-CNOT-Efficient VQE Circuits

This work asks whether reinforcement learning (RL) can design circuits that reach a fixed accuracy target with fewer compiled CNOTs than strong hand-designed and greedy baselines than strong hand-designed and greedy baselines.

Joshy Joseph, John Carlson · 0 citations