Reinforcement learning for adaptive composition of quantum circuit optimisation passes
Abstract Many quantum software development kits provide a suite of circuit optimisation passes. These passes have been highly optimised and tested in isolation. However, the order in which they are applied is left to the user, or else defined in general-purpose default pass sequences. While general-purpose sequences mi...
Daniel Mills, Ifan Williams, Jacob Swain et al.
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