Papers
Topics
Authors
Recent
Detailed Answer
Quick Answer
Concise responses based on abstracts only
Detailed Answer
Well-researched responses based on abstracts and relevant paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses
Gemini 2.5 Flash
Gemini 2.5 Flash 39 tok/s
Gemini 2.5 Pro 49 tok/s Pro
GPT-5 Medium 12 tok/s Pro
GPT-5 High 18 tok/s Pro
GPT-4o 91 tok/s Pro
Kimi K2 191 tok/s Pro
GPT OSS 120B 456 tok/s Pro
Claude Sonnet 4 37 tok/s Pro
2000 character limit reached

From time crystals to time quasicrystals: Exploring novel phases in transverse field Ising chains (2503.13033v1)

Published 17 Mar 2025 in cond-mat.str-el, cond-mat.dis-nn, and cond-mat.quant-gas

Abstract: Time crystals (TCs) and time quasicrystals (TQCs) represent novel phases of matter that arise from the breaking of time translational symmetry in periodically and quasiperiodically driven quantum systems. In this study, we explore the formation of a TQC phase within the disordered quantum Ising chain model under a transverse field (ITF). Notably, TQCs demonstrate robust subharmonic responses at multiple incommensurate frequencies, unlike traditional TCs which respond at a single frequency. Our analysis reveals that the TQC phase exhibits stable magnetization responses even in the presence of interaction perturbations and imperfections in the quasiperiodic driving fields. Employing exact diagonalization techniques, we find that increasing the chain length further stabilizes both TC and TQC phases. These results suggest promising pathways for experimental realization of TQCs in cold atomic systems and quantum simulators, opening avenues for deeper investigation into these intriguing dynamical phenomena.

Summary

We haven't generated a summary for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Lightbulb On Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.