Overlap distributions for quantum quenches in the anisotropic Heisenberg chain
Paolo P. Mazza, Jean-Marie St\'ephan, Elena Canovi, Vincenzo Alba,, Michael Brockmann, Masudul Haque

TL;DR
This paper analyzes the overlap distributions in the anisotropic Heisenberg chain after quantum quenches, providing insights into the eigenstate contributions and deriving formulas for dynamic quantities, with a focus on specific initial and final anisotropy states.
Contribution
It offers a detailed analysis of overlap distributions for quenches in the XXZ chain, including explicit formulas and selection rules, enhancing understanding of post-quench dynamics.
Findings
Only a small fraction of eigenstates contribute after a Ne9el to XX quench.
Contributions from eigenstates have identical overlap magnitudes.
Derived concise expressions for Loschmidt echo and correlators.
Abstract
The dynamics after a quantum quench is determined by the weights of the initial state in the eigenspectrum of the final Hamiltonian, i.e., by the distribution of overlaps in the energy spectrum. We present an analysis of such overlap distributions for quenches of the anisotropy parameter in the one-dimensional anisotropic spin-1/2 Heisenberg model (XXZ chain). We provide an overview of the form of the overlap distribution for quenches from various initial anisotropies to various final ones, using numerical exact diagonalization. We show that if the system is prepared in the antiferromagnetic N\'eel state (infinite anisotropy) and released into a non-interacting setup (zero anisotropy, XX point) only a small fraction of the final eigenstates gives contributions to the post-quench dynamics, and that these eigenstates have identical overlap magnitudes. We derive expressions for the…
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.
