Time-Dependent Hamiltonian Simulation via Time-Independent Dynamics in a Larger Space
Zecheng Li, Chunhao Wang

TL;DR
This paper introduces a quantum algorithm that simulates time-dependent Hamiltonian evolution by transforming it into a time-independent problem in a larger space, improving efficiency and matching state-of-the-art methods.
Contribution
It presents a novel approach using a larger space and Gaussian quadrature to efficiently simulate time-dependent Hamiltonians, improving upon previous methods.
Findings
Reduced dependence on evolution time and precision
Achieved complexity comparable to leading algorithms
Demonstrated efficiency of the time-independent framework
Abstract
In this paper, we present a proof-of-concept quantum algorithm for simulating time-dependent Hamiltonian evolution by reducing the problem to simulating a time-independent Hamiltonian in a larger space using a discrete clock Hamiltonian construction. A similar construction was first explored for this simulation problem by Watkins, Wiebe, Roggero, and Lee [PRX Quantum, 2024]. Our algorithm improves upon their work in terms of the dependence on evolution time and precision. In addition, the complexity matches the state-of-the-art simulation algorithms using other approaches. To achieve this improvement, we use Duhamel's principle to treat the clock and system Hamiltonians separately and exploit properties of Gaussian quadrature to reduce the simulation cost. Our approach demonstrates that time-dependent Hamiltonian simulation can be as efficient in a simpler framework and hence provides a…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Quantum many-body systems · Machine Learning in Materials Science
