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Optimal Quantum Circuit Partitioning via Tensor Network Methods
Quantum computers are expected to help solve important problems that are currently out of reach for classical computers, including challenges in chemistry, materials science, and optimization. However, today’s quantum devices are still limited in size and cannot run very large or complex programs on a single processor. This project aims to address this limitation by developing methods to divide large quantum circuits into smaller parts that can be run on multiple processors and then combined efficiently. By improving how quantum circuits are distributed and minimizing the communication required between devices, the project will help make better use of existing hardware.
Faculty Supervisor:
Cunlu Zhou
Student:
Partner:
University of Oxford
Discipline:
Physics
Sector:
Quantum Science
University:
Université de Sherbrooke
Program:
Globalink Research Award
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Mitacs is funded by the Government of Canada, the Government of Alberta, the Government of British Columbia, Research Manitoba, the Government of New Brunswick, the Government of Newfoundland and Labrador, the Government of Nova Scotia, the Government of Ontario, Innovation PEI, the Government of Quebec, the Government of Saskatchewan, and the Government of Yukon.