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Complexity and Operator Growth for Quantum Systems in Dynamic Equilibrium

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arxiv 2312.15790 v1 pith:FAKCIFG4 submitted 2023-12-25 hep-th quant-ph

classification hep-thquant-ph
keywords complexitykrylovmathsfoperatorsymmetricsystemsystemsalgebra
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

Krylov complexity is a measure of operator growth in quantum systems, based on the number of orthogonal basis vectors needed to approximate the time evolution of an operator. In this paper, we study the Krylov complexity of a $\mathsf{PT}$-symmetric system of oscillators, which exhibits two phase transitions that separate a dissipative state, a Rabi-oscillation state, and an ultra-strongly coupled regime. We use a generalization of the $su(1,1)$ algebra associated to the Bateman oscillator to describe the Hamiltonian of the coupled system, and construct a set of coherent states associated with this algebra. We compute the Krylov (spread) complexity using these coherent states, and find that it can distinguish between the $\mathsf{PT}$-symmetric and $\mathsf{PT}$ symmetry-broken phases. We also show that the Krylov complexity reveals the ill-defined nature of the vacuum of the Bateman oscillator, which is a special case of our system. Our results demonstrate the utility of Krylov complexity as a tool to probe the properties and transitions of $\mathsf{PT}$-symmetric systems.

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Cited by 2 Pith papers

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  2. (A)Symmetric Complexity and the Quantum Mpemba Effect

    hep-th 2025-09 conditional novelty 6.0 of 10

    A new decomposition of Krylov complexity into projected symmetric and asymmetric parts diagnoses the quantum Mpemba effect, but its claimed t=0 predictor is computationally equivalent to time evolution.

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