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The Quantum Computing and AI Frontier

Monday 11:00 Toronto (GMT-4)

Recording available

Waterloo, Canada

Recording

1 h 7 min

Abstract

Shayan Majidy examines how AI can help build and use quantum computers. Algorithm-specific error-correcting codes offer substantial improvements for targeted tasks, with machine learning, SAT methods and tensor networks extending code design. The talk also presents an experimentally realised universal fault-tolerant gate set and the use of learning to optimise its bottlenecks, then considers future integration of large quantum processors and AI for scientific computation.

Topics

quantum computersAlgorithm-specific error-correcting codesMachine LearningSAT methodstensor networkscode designfault-tolerant gate setscientific computation

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