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Information dynamics in decohered quantum memory with repeated syndrome measurements

Jacob Hauser1, Yimu Bao2, Shengqi Sang2,3,4, Ali Lavasani2, Utkarsh Agrawal2, and Matthew P. A. Fisher1

Phys. Rev. B 113, 054303 – Published 9 February, 2026

DOI: https://doi.org/10.1103/v5kq-7mn7

Abstract

Measurements can detect errors in a decohered quantum memory allowing active error correction to increase the memory time. Previous understanding of this mechanism has focused on evaluating the performance of error-correction algorithms based on measurement results. In this work, we instead intrinsically characterize the information dynamics in a quantum memory under repeated measurements, using coherent information and relative entropy. We consider the dynamics of a d-dimensional stabilizer code subject to Pauli errors and noisy stabilizer measurements and develop a (d+1)-dimensional statistical mechanics model for the information-theoretic diagnostics. Our model is dual to the model previously obtained for the optimal decoding algorithm, and the potential decoding transition in the quantum memory again manifests as a thermal phase transition in the statistical mechanics model. We explicitly derive the model and study the phase transition in information encoding in three examples: surface codes, repetition codes, and the XZZX code.

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