Time-dependent unbounded Hamiltonian simulation with vector norm scaling
Dong An, Di Fang, Lin Lin

TL;DR
This paper shows that for certain unbounded Hamiltonians, the error in quantum simulation measured by vector norm can remain small regardless of the Hamiltonian's size, reducing computational costs.
Contribution
It introduces a vector norm-based error analysis for time-dependent unbounded Hamiltonian simulation, outperforming traditional operator norm bounds.
Findings
Error remains bounded in vector norm despite large Hamiltonian norms.
Extends previous results to time-dependent Hamiltonians.
Highlights the role of commutator scalings in Trotter methods.
Abstract
The accuracy of quantum dynamics simulation is usually measured by the error of the unitary evolution operator in the operator norm, which in turn depends on certain norm of the Hamiltonian. For unbounded operators, after suitable discretization, the norm of the Hamiltonian can be very large, which significantly increases the simulation cost. However, the operator norm measures the worst-case error of the quantum simulation, while practical simulation concerns the error with respect to a given initial vector at hand. We demonstrate that under suitable assumptions of the Hamiltonian and the initial vector, if the error is measured in terms of the vector norm, the computational cost may not increase at all as the norm of the Hamiltonian increases using Trotter type methods. In this sense, our result outperforms all previous error bounds in the quantum simulation literature. Our result…
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