Machine Learning for Reliable Quantum Computing: An Algorithm–Hardware Co-Design Perspective
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Machine Learning for Reliable Quantum Computing: An Algorithm–Hardware Co-Design Perspective
Full title: Machine Learning for Reliable Quantum Computing: An Algorithm–Hardware Co-Design Perspective Summary: Reliable quantum computing requires co-design across the full stack, including algorithm structure, compilation, and execution, rather than isolated optimization of any single layer. This talk presents a unified framework in which ...
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