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This paper advances the theoretical understanding of quantum spin systems by deriving Lieb-Robinson bounds for irreversible dynamics using an adaptive Dyson expansion. The method's independence from specific Hamiltonian or dissipative terms makes it a robust tool for analyzing information propagation in open quantum systems.
Lieb-Robinson bounds for irreversible dynamics via adaptive Dyson expansion
arXiv:2610.12731v1 Announce Type: cross Abstract: In this note, we study a broad class of time-dependent and irreversible dynamics for quantum spin systems in both finite and infinite volume. We develop a simple and flexible strategy for expanding commutators of the form $[A,\tau_{s,t} \, B]$ in terms of self-avoiding paths of sets, where $A$ and $B$ are local operators and $\tau_{s,t}$ is the Heisenberg time evolution. This adaptive Dyson expansion requires no backwards time evolution and is thus also applicable to irreversible dynamics. Furthermore, we discuss how such an expansion directly implies Lieb-Robinson bounds. A central feature of our result is that the obtained Lieb-Robinson bounds are independent of any Hamiltonian and dissipative on-site terms of the generator.
Abstract:In this note, we study a broad class of time-dependent and irreversible dynamics for quantum spin systems in both finite and infinite volume. We develop a simple and flexible strategy for expanding commutators of the form $[A,\tau_{s,t} \, B]$ in terms of self-avoiding paths of sets, where $A$ and $B$ are local operators and $\tau_{s,t}$ is the Heisenberg time evolution. This adaptive Dyson expansion requires no backwards time evolution and is thus also applicable to irreversible dynamics. Furthermore, we discuss how such an expansion directly implies Lieb-Robinson bounds. A central feature of our result is that the obtained Lieb-Robinson bounds are independent of any Hamiltonian and dissipative on-site terms of the generator.
arXiv:2610.12731 [math-ph]
(or arXiv:2610.12731v1 [math-ph] for this version)
https://doi.org/10.48550/arXiv.2610.12731 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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