Time-Dependent Hamiltonian Simulation in the Low-Energy Subspace
Shuo Zhou, Zhaokai Pan, Weiyuan Gong, Tongyang Li
TL;DR
This work addresses time-dependent Hamiltonian simulation under a low-energy subspace constraint, showing that product-formula simulations can be significantly more efficient when the initial state is confined to a fixed number of low-energy eigenstates. By integrating adiabatic perturbation theory with projection lemmas and Floquet-based residual analysis, the authors derive commutator-scaling error bounds and explicit Trotter-number bounds that reduce dependence on system size, while quantifying leakage across the evolving spectral subspace. The results yield concrete r bounds for generalized and standard product formulas, with an explicit adiabatic regime where the reduction is exponential in the system size, and they provide a matching lower bound for generic time-dependent simulations. The paper also demonstrates practical impact through applications to non-equilibrium quantum dynamics and adiabatic state preparation, highlighting that low-energy structure can substantially improve quantum simulation performance.
Abstract
Hamiltonian simulations are key subroutines in adiabatic quantum computation, quantum control, and quantum many-body physics, where quantum dynamics often happen in the low-energy sector. In contrast to time-independent Hamiltonian simulations, a comprehensive understanding of quantum simulation algorithms for time-dependent Hamiltonians under the low-energy assumption remains limited hitherto. In this paper, we investigate how much we can improve upon the standard performance guarantee assuming the initial state is supported on a low-energy subspace. In particular, we compute the Trotter number of digital quantum simulation based on product formulas for time-dependent spin Hamiltonians under the low-energy assumption that the initial state is supported on a small number of low-energy eigenstates, and show improvements over the standard cost for simulating full unitary simulations. Technically, we derive the low-energy simulation error with commutator scaling for product formulas by leveraging adiabatic perturbation theory to analyze the time-variant energy spectrum of the underlying Hamiltonian. We further discuss the applications to simulations of non-equilibrium quantum many-body dynamics and adiabatic state preparation. Finally, we prove a lower bound of query complexity for generic time-dependent Hamiltonian simulations.
