Preparation Changes the Cost of Calibration for Quantum Control
quant-ph
Submitted: 2026-09-25
Updated: 2026-09-25
Code: https://github.com/QDynamics/CalibrationCostOfQControl
License: http://creativecommons.org/licenses/by/4.0/
The gist: Error-correction records can reveal noise yet supply the information needed for control too slowly.
Terminology
Abstract
Error-correction records can reveal noise yet supply the information needed for control too slowly. In a surface code under Gaussian dephasing, encoded calibration learns a correlation that reverses the preferred control mainly through rare events. A product probe exposes it more often through the same checks, reducing ideal-record sample complexity from inverse-square to inverse-linear in phase variance. Counting both calibration and execution costs, we show that this gain can repay probe overhead and enable protected tasks within budgets that exclude encoded calibration.
Sources
- In-situ characterization of quantum devices with error correction
- Learning logical Pauli noise in quantum error correction
- Efficient learning of logical noise from syndrome data
- A Theory of Quantum Error-Correcting Codes
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