Learning logical quantum noise in quantum error correction

The characterization of quantum devices is crucial for their practical implementation but can be costly in experimental effort and classical post-processing. Therefore, it is desirable to measure only the information that is relevant for specific applications and develop protocols that require little additional effort. In this work, we focus on the characterization of quantum computers in the context of stabilizer quantum error correction. Our main result is that the logical error channel induced by Pauli noise can be estimated from syndrome data under minimal conditions. More precisely, we show that the estimation is possible as long as the code can correct the noise.

Subjects

Quantum Physics

Funding(s)

Skalierbarer Quantencomputer mit Hochfrequenz‐gesteuerten gespeicherten Ionen

Verifizierung und Charakterisierung von Quantentechnologie

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Learning logical quantum noise in quantum error correction