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quantum-fidelity

topic1 events
papersSEP 11 04:00 UTC

Semidefinite Programming Method Proposed for Quantum Channel Learning

A new arXiv paper addresses how to reconstruct a quantum channel from a finite sample of classical measurement data. The author shows that when total fidelity can be written as a ratio of two quadratic forms, the learning task can be cast as a semidefinite program. This framing is illustrated with cases such as mapping a mixed state to a pure state under projective operations.

quantum-computing/optimization/research/machine-learning