Krylov complexity under Hamiltonian deformations and Toda flows
The quantum dynamics of a complex system can be efficiently described in Krylov space, the minimal subspace in which the dynamics unfolds. We apply the Krylov subspace method for Hamiltonian deformations, which provides a systematic way of constructing solvable models from known instances. In doing so, we relate the evolution of deformed and undeformed theories and investigate their complexity. For a certain class of deformations, the resulting Krylov subspace is unchanged, and we observe time evolutions with a reorganized basis. The tridiagonal form of the generator in the Krylov space is maintained, and we obtain generalized Toda equations as a function of the deformation parameters. The imaginary-time-like evolutions can be described by real-time unitary ones. As possible applications, we discuss coherent Gibbs states for thermodynamic systems, for which we analyze the survival probability, spread complexity, Krylov entropy, and associated time-averaged quantities. We further discuss the statistical properties of random matrices and supersymmetric systems for quadratic deformations.
Authors
- Kazutaka Takahashi (ORCID: https://orcid.org/0000-0001-7321-2571)
- Pratik Nandy (ORCID: https://orcid.org/0000-0001-5383-2458)
- Adolfo del Campo (ORCID: https://orcid.org/0000-0003-2219-2851)
Institutions
- Kanazawa University (JP)
- Vrije Universiteit Brussel (BE)
- Mie University (JP)
- University of Luxembourg (LU)
- Instituto de Física Teórica (ES)
- Yukawa Institute for Theoretical Physics (JP)
- Donostia International Physics Center (ES)
Publication Details
- Journal
- Physical review. B./Physical review. B
- Published
- 2026-03-31
- DOI
- https://doi.org/10.1103/zt9g-scp5
- Primary Topic
- Quantum many-body systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Fonds National de la Recherche Luxembourg
- Fonds Wetenschappelijk Onderzoek
- Vlaamse regering
- QuantERA
- Japan Society for the Promotion of Science
- Horizon 2020