Quantum Averaging Theory for Multi-Timescale Driven Quantum Systems
Kristian D. Barajas, Wesley C. Campbell
TL;DR
Quantum Averaging Theory (QAT) merges the unitarity-preserving Magnus expansion with multi-timescale averaging to model driven quantum systems across far-detuned and near-resonant regimes. By factorizing the unitary evolution into a fast propagator and a slow, effective Hamiltonian, QAT captures fast micromotion via a dynamical phase while governing long-time dynamics with a renormalized effective Hamiltonian $\hat{H}_{I,\mathrm{eff}}$. The framework provides a constructive algorithm to obtain higher-order corrections, establishes error bounds, and demonstrates rapid convergence to exact solutions in prototypical quantum-optical problems, including far-detuned Rabi and near-resonant Raman processes. It generalizes Floquet-based methods to almost-periodic and multi-timescale drives, enabling more accurate analytic control and design of quantum gates and simulations, with future extensions to open systems and many-body settings.
Abstract
We present a multi-timescale Quantum Averaging Theory (QAT), a unitarity-preserving generalized Floquet framework for analytically modeling periodically and almost-periodically driven quantum systems across multiple timescales. By integrating the Magnus expansion with the method of averaging on multiple scales, QAT captures the effects of both far-detuned and near-resonant interactions on system dynamics. The framework yields an effective Hamiltonian description while retaining fast oscillatory effects within a separate dynamical phase operator, ensuring accuracy across a wide range of driving regimes. We demonstrate the rapid convergence of QAT results toward exact numerical solutions in both detuning regimes for touchstone problems in quantum information science.
