Projected ensemble in a system with conserved charges with local support
Sandipan Manna, Sthitadhi Roy, G. J. Sreejith

TL;DR
This paper explores the behavior of the projected ensemble in many-body localized quantum systems with extensive local conserved charges, revealing convergence to a Scrooge ensemble except near conserved charges, and relates this to the Porter-Thomas distribution.
Contribution
It extends the study of projected ensembles to systems with many local conserved charges, showing their unique basis dependence and convergence properties in MBL systems.
Findings
Projected ensemble converges to a Scrooge ensemble at late times.
Convergence is affected by the measurement basis, especially near conserved charges.
Emergence of Porter-Thomas distribution in measurement probabilities.
Abstract
The investigation of ergodicity or lack thereof in isolated quantum many-body systems has conventionally focused on the description of the reduced density matrices of local subsystems in the contexts of thermalization, integrability, and localization. Recent experimental capabilities to measure the full distribution of quantum states in Hilbert space and the emergence of specific state ensembles have extended this to questions of {\textit{deep thermalization}}, by introducing the notion of the {\textit{projected ensemble}} -- ensembles of pure states of a subsystem obtained by projective measurements on its complement. While previous work examined chaotic unitary circuits, Hamiltonian evolution, and systems with global conserved charges, we study the projected ensemble in systems where there are an extensive number of conserved charges all of which have (quasi)local support. We employ a…
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.
Taxonomy
TopicsAdvanced Research in Systems and Signal Processing · Mathematical Control Systems and Analysis · Modular Robots and Swarm Intelligence
