Reinforcement Learning based Clifford Circuit Synthesis
Jan 16, 2025·,,,,,,,·
0 min read
Juan Cruz-Benito
David Kremer
Hanhee Paik
Ismael Faro Sertage
Francisco Jose Martin Fernandez
Ivan Duran Martinez
Sanjay Vishwakarma
Vipul Sharma
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