Preprint
Aug 2026
Exact learning of quantum noise with tensor networks
A variational framework that learns the noise model directly from quantum-error-correction syndrome and logical-observable data collected during error-corrected memory experiments is presented, and it is proved that a sufficiently expressive noise ansatz attains the information-theoretic minimum logical error rate.
Nicola Pancotti, Vedika Saravanan, K. Svore
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