Krylov complexity as an order parameter for quantum chaotic-integrable transitions
Krylov complexity has recently emerged as a new paradigm to characterize quantum chaos in many-body systems. However, which features of Krylov complexity are a prerogative of quantum chaotic systems and how they relate to more standard probes, such as spectral statistics or out-of-time-order correlators (OTOCs), remain open questions. Recent insights have revealed that in quantum chaotic systems Krylov state complexity exhibits a distinct peak during time evolution before settling into a well-understood late-time plateau. In this work we propose that this Krylov complexity peak (KCP) is a hallmark of quantum chaotic systems and suggest that its height could serve as an order parameter for quantum chaos. We demonstrate that the KCP effectively identifies chaotic-integrable transitions in two representative quantum-mechanical models at both infinite and finite temperature: the mass-deformed Sachdev-Ye-Kitaev model and the sparse Sachdev-Ye-Kitaev model. Our findings align with established results from spectral statistics and OTOCs while introducing an operator-independent diagnostic for quantum chaos, offering more universal insights and a deeper understanding of the general properties of quantum chaotic systems.
Authors
- Keun-Young Kim (ORCID: https://orcid.org/0000-0002-4725-3211)
- Hyun-Sik Jeong (ORCID: https://orcid.org/0000-0001-8868-570X)
- Matteo Baggioli (ORCID: https://orcid.org/0000-0001-9392-7507)
- Kyoung-Bum Huh (ORCID: https://orcid.org/0000-0001-6704-0136)
- Juan F. Pedraza (ORCID: https://orcid.org/0000-0002-1426-642X)
Institutions
- Shanghai Jiao Tong University (CN)
- Gwangju Institute of Science and Technology (KR)
- Instituto de Investigaciones Fisicoquímicas Teóricas y Aplicadas (AR)
Publication Details
- Journal
- Physical Review Research
- Published
- 2025-04-09
- DOI
- https://doi.org/10.1103/physrevresearch.7.023028
- Citations
- 26
- Primary Topic
- Quantum chaos and dynamical systems
- Type
- article
- Field-Weighted Citation Impact
- 34.41
Funders
- Comunidad de Madrid
- National Research Foundation
- Ministerio de Economía y Competitividad
- National Research Foundation of Korea
- Ministry of Science and ICT, South Korea
- European Regional Development Fund
- Agencia Estatal de Investigación