Insights from the exact analytical solution of periodically driven transverse field Ising chain
Pritam Das, Anirban Dutta

TL;DR
This paper derives an exact analytical solution for the long-time dynamics of a periodically driven transverse field Ising chain, revealing how observables evolve and saturate, and extends the analysis to various driving protocols.
Contribution
It provides the first exact analytical expressions for wave functions and expectation values in a periodically driven integrable quantum system, including generalizations to different driving protocols.
Findings
Expectation values split into oscillatory and saturation parts.
Oscillatory contributions vanish at large drive cycles.
Long-time behavior described by periodic generalized Gibbs ensemble.
Abstract
We derive an exact analytical expression at stroboscopic intervals for the time-dependent wave function of a class of integrable quantum many-body systems, driven by the periodic delta-kick protocol. To investigate long-time dynamics, we use the wave function to obtain an exact analytical expression for the expectation values of the defect density, magnetization, residual energy, fidelity, and the correlation function after the th drive cycle. Periodically driven integrable closed quantum systems absorb energy, and the long-time universal dynamics are described by the periodic generalized Gibbs ensemble (GGE). We demonstrate that the expectation values of all observables are divided into two parts: one highly oscillatory term that depends on the drive cycle n, and the rest of the terms are independent of it. Typically, the -independent part constitutes the saturation at large n…
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
TopicsOpinion Dynamics and Social Influence · Quantum many-body systems · Complex Network Analysis Techniques
