Article,

Monte Carlo graph search for quantum circuit optimization

, and .
Phys. Rev. A, 108 (6): 062615 (December 2023)
DOI: 10.1103/PhysRevA.108.062615

Abstract

The authors introduce a search algorithm aimed at optimizing the arrangement of quantum gates, leveraging different sampling techniques to dynamically grow a graph that represents potential quantum circuits. They demonstrate efficacy in reducing the quantum gate count, both theoretically and numerically, albeit with acknowledged computational challenges as the graph expands.

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