Related papers: Information dynamics and symmetry breaking in generic monitored $\mathbb{Z}

Information dynamics and symmetry breaking in generic monitored $\mathbb{Z}_2$-symmetric open quantum systems

URL: http://arxiv.org/abs/2512.03031v1
Date: Tue, 02 Dec 2025 18:54:59 GMT
Title: Information dynamics and symmetry breaking in generic monitored $\mathbb{Z}_2$-symmetric open quantum systems
Authors: Jacob Hauser, Ali Lavasani, Sagar Vijay, Matthew P. A. Fisher,
Abstract summary: We investigate the steady-state phases of generic $mathbbZ$-symmetric monitored, open quantum dynamics.<n>We find a completely broken phase where information is retained by the quantum system, a strong-to-weak broken phase where information is leaked to the environment, and an unbroken phase where information is learned by the observer.
Score: 0.0
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Abstract: We investigate the steady-state phases of generic $\mathbb{Z}_2$-symmetric monitored, open quantum dynamics. We describe the phases systematically in terms of both information-theoretic diagnostics and spontaneous breaking of strong and weak symmetries of the dynamics. We find a completely broken phase where information is retained by the quantum system, a strong-to-weak broken phase where information is leaked to the environment, and an unbroken phase where information is learned by the observer. We find that weak measurement and dephasing alone constitute a minimal model for generic open systems with $\mathbb{Z}_2$ symmetry, but we also explore perturbations by unitary gates. For a 1d set of qubits, we examine information-theoretic and symmetry-breaking observables in the path integral of the doubled state. This path integral reduces to the standard classical 2d random-bond Ising model in certain limits but generically involves negative weights, enabling a special self-dual random-bond Ising model at the critical point when only measurements are present. We obtain numerical evidence for the steady-state phases using efficient tensor network simulations of the doubled state.

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