Lie algebra-assisted quantum simulation and quantum optimal control via high-order Magnus expansions

TL;DR

This paper introduces a scalable, efficient method for high-order Magnus expansion calculations in quantum systems, significantly improving quantum simulation and control design, demonstrated on a 5-qubit Rydberg atom platform.

Contribution

A novel polynomial-based approach to compute high-order Magnus expansions efficiently for time-dependent quantum Hamiltonians.

Findings

Computational effort depends only on control degrees of freedom.

Method is several orders of magnitude faster than previous techniques.

Successfully designed control pulses for a 5-qubit Rydberg atom system.

Abstract

The evolution of a quantum system under time-dependent driving exhibits phenomena that are absent in its stationary counterpart. However, the high dimensionality and non-commutative nature of quantum dynamics make this a challenging problem. The Magnus expansion provides an analytic framework to approximate the effective dynamics on short time-scales, but computing high-order terms with existing methods is computationally expensive. We introduce a scalable approach that reduces the computational effort to depend only on the degrees of freedom defining the time-dependent control function. We focus specifically on Hamiltonians consisting of a constant drift term and a controllable term. Our method provides a polynomial expression for the Magnus expansion which can be evaluated several orders of magnitude faster than previous techniques, enabling broad applications in the realms of quantum simulation and quantum optimal control. We showcase an application of the method by designing control pulses for the 5-qubit phase gate on a neutral-atom platform utilizing Rydberg atoms.