Monitored Open Fermion Dynamics: Exploring the Interplay of Measurement, Decoherence, and Free Hamiltonian Evolution
B. Ladewig, S. Diehl, M. Buchhold

TL;DR
This paper investigates how dephasing affects monitored fermion systems, revealing that measurement-induced phase transitions persist under weak decoherence, while strong dephasing introduces an effective temperature and classical diffusion signatures.
Contribution
It provides a comprehensive analysis of monitored fermion dynamics under decoherence using exact solutions, quantum simulations, and field theory, highlighting the robustness of phase transitions and new scaling behaviors.
Findings
Measurement-induced phase transition persists under weak dephasing.
Strong dephasing leads to an effective temperature and increased mixedness.
Scale-invariant correlations indicate classical diffusion in the strongly decohered phase.
Abstract
The interplay of unitary evolution and local measurements in many-body systems gives rise to a stochastic state evolution and to measurement-induced phase transitions in the pure state entanglement. In realistic settings, however, this dynamics may be spoiled by decoherence, e.g., dephasing, due to coupling to an environment or measurement imperfections. We investigate the impact of dephasing and the inevitable evolution into a non-Gaussian, mixed state, on the dynamics of monitored fermions. We approach it from three complementary perspectives: (i) the exact solution of the conditional master equation for small systems, (ii) quantum trajectory simulations of Gaussian states for large systems, and (iii) a renormalization group analysis of a bosonic replica field theory. For weak dephasing, constant monitoring preserves a weakly mixed state, which displays a robust measurement-induced…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
