A Dynamical Lie-Algebraic Framework for Hamiltonian Engineering and Quantum Control

TL;DR

This paper introduces a Lie-algebraic framework for quantum control that enables systematic Hamiltonian engineering, allowing for efficient, controllable, and symmetry-restricted quantum dynamics under physical constraints.

Contribution

It develops a unified approach to engineer Hamiltonian structures using dynamical Lie algebras, including spectral decomposition, controllability preservation, and symmetry-based reduction.

Findings

Constructed qubit-efficient direct-sum Hamiltonian structures.

Identified Hamiltonian modifications preserving full controllability.

Engineered Hamiltonian sets confined to target subalgebras.

Abstract

Determining the physically accessible unitary dynamics of a quantum system under finite Hamiltonian resources is a central problem in quantum control and Hamiltonian engineering. Dynamical Lie algebras (DLAs) provide the fundamental link between available control Hamiltonians and the resulting quantum dynamics. While the structural classification of DLAs is well-established, how to systematically engineer and reshape these algebraic structures under realistic physical constraints remains largely unexplored. In this work, building upon recent results on direct sums of identical DLAs, we develop a unified framework for engineering Hamiltonian-driven quantum dynamics based on DLAs: (i) constructing qubit-efficient direct-sum Hamiltonian structures via spectral decomposition of Hermitian operators, enabling parallel simulation of multiple quantum subsystems; (ii) identifying Hamiltonian modifications that preserve full controllability, including the $\mathfrak{su}(2^N)$ algebra, even when additional physically motivated control terms are introduced; and (iii) engineering restricted Hamiltonian sets that confine quantum dynamics to target subalgebras through irreducible Lie-algebra decompositions, providing a principled approach to symmetry-based dynamical reduction. By bridging these Lie-algebraic insights with practical control objectives, our framework provides a systematic pathway for engineering expressive and resource-efficient unitary evolutions, thus unlocking greater structural flexibility of Hamiltonian-driven quantum systems.