English

Measurement-driven entanglement transition in hybrid quantum circuits

Statistical Mechanics 2023-08-23 v2 Disordered Systems and Neural Networks Strongly Correlated Electrons Quantum Physics

Abstract

In this paper we continue to explore "hybrid" quantum circuit models in one-dimension with both unitary and measurement gates, focussing on the entanglement properties of wavefunction trajectories at long times, in the steady state. We simulate a large class of Clifford circuits, including models with or without randomness in the unitary gates, and with or without randomness in the locations of measurement gates, using stabilizer techniques to access the long time dynamics of systems up to 512 qubits. In all models we find a volume law entangled phase for low measurement rates, which exhibits a sub-dominant logarithmic behavior in the entanglement entropy, SA=αlnA+sAS_A = {\alpha} \ln |A| + s|A|, with sub-system size A|A|. With increasing measurement rate the volume law phase is unstable to a disentangled area law phase, passing through a single entanglement transition at a critical rate of measurement. At criticality we find a purely logarithmic entanglement entropy, SA=α(pc)lnAS_A = {\alpha}(p_c) \ln|A|, a power law decay and conformal symmetry of the mutual information, with exponential decay off criticality. Various spin-spin correlation functions also show slow decay at criticality. Critical exponents are consistent across all models, indicative of a single universality class. These results suggest the existence of an effective underlying statistical mechanical model for the entanglement transition. Beyond Clifford circuit models, numerical simulations of up to 20 qubits give consistent results.

Keywords

Cite

@article{arxiv.1901.08092,
  title  = {Measurement-driven entanglement transition in hybrid quantum circuits},
  author = {Yaodong Li and Xiao Chen and Matthew P. A. Fisher},
  journal= {arXiv preprint arXiv:1901.08092},
  year   = {2023}
}

Comments

30 pages, 28 figures. Published version, w/ updated discussion, acknowledgement, and references

R2 v1 2026-06-23T07:20:15.598Z