Reinforcement Learning based Clifford Circuit Synthesis

Jan 16, 2025·
Juan Cruz-Benito
,
David Kremer
,
Hanhee Paik
,
Ismael Faro Sertage
,
Francisco Jose Martin Fernandez
,
Ivan Duran Martinez
,
Sanjay Vishwakarma
,
Vipul Sharma
· 0 min read
Abstract
Systems and techniques that facilitate Clifford circuit synthesis are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory that can execute the computer executable components stored in memory. The computer executable components can comprise a receiver component that receives a quantum circuit design comprising a Clifford circuit representation and one or more circuit restrictions, and a machine learning component that generates, using a machine learning model, a replacement circuit based on the one or more circuit restrictions and the Clifford circuit representation, and generates a modified quantum circuit design by replacing the Clifford circuit representation with the replacement circuit.
Type
Publication
US Patent App. US18/466323
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