Quantum dynamics in Krylov space: Methods and applications

Pratik Nandy, Apollonas S. Matsoukas-Roubeas, Pablo Martínez-Azcona, Anatoly Dymarsky, Adolfo del Campo

Research output: Contribution to journalReview articlepeer-review

28 Scopus citations

Abstract

The dynamics of quantum systems unfolds within a subspace of the state space or operator space, known as the Krylov space. This review presents the use of Krylov subspace methods to provide an efficient description of quantum evolution and quantum chaos, with emphasis on nonequilibrium phenomena of many-body systems with a large Hilbert space. It provides a comprehensive update of recent developments, focused on the quantum evolution of operators in the Heisenberg picture as well as pure and mixed states. It further explores the notion of Krylov complexity and associated metrics as tools for quantifying operator growth, their bounds by generalized quantum speed limits, the universal operator growth hypothesis, and its relation to quantum chaos, scrambling, and generalized coherent states. A comparison of several generalizations of the Krylov construction for open quantum systems is presented. A closing discussion addresses the application of Krylov subspace methods in quantum field theory, holography, integrability, quantum control, and quantum computing, as well as current open problems.

Original languageEnglish
Pages (from-to)1-82
Number of pages82
JournalPhysics Reports
Volume1125-1128
DOIs
StatePublished - Jun 18 2025

Bibliographical note

Publisher Copyright:
© 2025 Elsevier B.V.

Funding

We are thankful to Budhaditya Bhattacharjee, Hugo A. Camargo, Xiangyu Cao, Paweł Caputa, Nicoletta Carabba, Aurelia Chenu, Pieter W. Claeys, Íñigo L. Egusquiza, Niklas Hörnedal, Norihiro Iizuka, Victor Jahnke, Norman Margolus, Javier Molina-Vilaplana, Masahiro Nozaki, Tanay Pathak, Tomaž Prosen, Zdenek Strakos, Shinsei Ryu, Lucas Sá, Lea F. Santos, Aninda Sinha, Julian Sonner, Ruth Shir, Kazutaka Takahashi, Jing Yang, Zhuo-Yu Xian, and Zhenyu Xu for insightful discussions. We acknowledge financial support from The Luxembourg National Research Fund (project No. grant 17132054 and 16434093, and Attract Grant No. 15382998). One of these projects has received funding from the QUANTERA II Joint Programme with cofunding from the European Union's Horizon Europe research and innovation programme. The work of P.N. is supported by the Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Transformative Research Areas (A) “Extreme Universe” No.21H05190. A.D. acknowledges support by the NSF under grant 2310426. For the purpose of open access, the authors have applied a Creative Commons Attribution 4.0 International (CC BY 4.0) license to any Author Accepted Manuscript version arising from this submission. We are thankful to Budhaditya Bhattacharjee, Hugo A. Camargo, Xiangyu Cao, Paweł Caputa, Nicoletta Carabba, Aurelia Chenu, Pieter W. Claeys, Íñigo L. Egusquiza, Niklas Hörnedal, Norihiro Iizuka, Victor Jahnke, Norman Margolus, Javier Molina-Vilaplana, Masahiro Nozaki, Tanay Pathak, Tomaž Prosen, Zdenek Strakos, Shinsei Ryu, Lucas Sá, Lea F. Santos, Aninda Sinha, Julian Sonner, Ruth Shir, Kazutaka Takahashi, Jing Yang, Zhuo-Yu Xian, and Zhenyu Xu for insightful discussions. We acknowledge financial support from The Luxembourg National Research Fund (project No. grant 17132054 and 16434093 , and Attract Grant No. 15382998 ). One of these projects has received funding from the QUANTERA II Joint Programme with cofunding from the European Union’s Horizon Europe research and innovation programme. The work of P.N. is supported by the Japan Society for the Promotion of Science (JSPS) Grant-in-Aid for Transformative Research Areas (A) “Extreme Universe” No. 21H05190. A.D. acknowledges support by the NSF under grant 2310426. For the purpose of open access, the authors have applied a Creative Commons Attribution 4.0 International (CC BY 4.0) license to any Author Accepted Manuscript version arising from this submission.

FundersFunder number
European Union's Horizon Europe research and innovation programme
European Union’s Horizon Europe research and innovation programme
National Science Foundation Arctic Social Science ProgramCC BY 4.0, 2310426
Fonds National de la Recherche Luxembourg17132054, 16434093, 15382998
Japan Society for the Promotion of Science21H05190

    Keywords

    • Krylov complexity
    • Lanczos algorithm
    • Operator growth
    • Quantum chaos

    ASJC Scopus subject areas

    • General Physics and Astronomy

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