Quantum Koopman Algorithms
David Jennings, Kamil Korzekwa, Matteo Lostaglio, Guoming Wang

TL;DR
This paper introduces Quantum Koopman Algorithms (QKAs) that leverage observable-space structures to efficiently simulate quantum and classical dynamics, with applications in heat flow reconstruction, nonlinear dynamics, and spectral analysis.
Contribution
It develops a unified quantum framework for simulating classical and quantum systems using Koopman operator techniques, including novel algorithms for nonlinear and spectral problems.
Findings
Quantum algorithms for free fermions achieve polylogarithmic gate complexity.
New nonlinear interaction-picture quantum algorithm for perturbative expansions.
Spectral methods and windowed quantum ODE-solver for analyzing nonlinear dynamics.
Abstract
We define an observable-space framework of Quantum Koopman Algorithms (QKAs) for simulating the dynamics of both linear quantum and nonlinear classical systems, based on approximately closed sets of observables and efficient coherent encodings of their Koopman-driven evolution. QKAs have two strands: Dynamic-QKA for the initial-value problem of observables dynamics, and Spectral-QKA for the eigenvalue analysis of the Koopman operator. We demonstrate the scope of the framework through several applications. First, for classes of free fermions linearly coupled to a bath, we construct quantum algorithms with gate cost , an exponential improvement over classical methods, and use them to reconstruct heat flows and decay rates. Second, for nonlinear classical dynamics, we introduce a novel nonlinear interaction-picture quantum algorithm that enables perturbative…
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