Spectral analysis of the Koopman operator as a framework for recovering Hamiltonian parameters in open quantum systems
Jorge E. P\'erez-Garc\'ia, Carlos Colchero, Julio C. Guti\'errez-Vega

TL;DR
This paper presents a spectral data-driven method using Koopman operator theory, specifically the mHAVOK algorithm, to accurately recover Hamiltonian parameters in open quantum systems, outperforming traditional estimators in noisy conditions.
Contribution
The work introduces the application of the multichannel Hankel alternative view of Koopman (mHAVOK) algorithm for parameter estimation in open quantum systems, establishing a theoretical connection and demonstrating superior accuracy over Fourier and matrix-pencil methods.
Findings
Successfully retrieves key quantum parameters with within 5% accuracy.
Outperforms Fourier and matrix-pencil estimators in high dissipation scenarios.
Applicable to various quantum systems, including harmonic oscillators and Jaynes-Cummings models.
Abstract
Accurate identification of Hamiltonian parameters is essential for modeling and controlling open quantum systems. In this work, we demonstrate that the multichannel Hankel alternative view of Koopman (mHAVOK) algorithm is a robust and reliable spectral data-driven method for retrieving Hamiltonian parameters from the evolution of first-moment observables in open quantum systems. The method relies on the discrete spectrum of the Koopman operator to obtain these parameters, which are computed using the mHAVOK algorithm; a theoretical connection to this affirmation is presented. The method is tested on noiseless quadratures of an open two-dimensional quantum harmonic oscillator and shown to retrieve oscillation frequencies, damping rates, nonlinear Kerr shifts, the qubit-photon coupling strength of a Jaynes-Cummings interaction, and the modulated frequency of a time-dependent Hamiltonian.…
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