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Simple and high-precision Hamiltonian simulation by compensating Trotter error with linear combination of unitary operations

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arxiv 2212.04566 v2 pith:XNKY7H6O submitted 2022-12-08 quant-ph

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keywords trotterkth-orderalgorithmhamiltonianscalingsimulationaccuracyerror
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Trotter and linear-combination-of-unitary (LCU) are two popular Hamiltonian simulation methods. We propose Hamiltonian simulation algorithms using LCU to compensate Trotter error, which enjoy both of their advantages. By adding few gates after the Kth-order Trotter, we realize a better time scaling than 2Kth-order Trotter. Our first algorithm exponentially improves the accuracy scaling of the Kth-order Trotter formula. In the second algorithm, we consider the detailed structure of Hamiltonians and construct LCU for Trotter errors with commutator scaling. Consequently, for lattice Hamiltonians, the algorithm enjoys almost linear system-size dependence and quadratically improves the accuracy of the Kth-order Trotter.

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  1. High-order Magnus Expansion for Hamiltonian Simulation

    quant-ph 2025-09 conditional novelty 7.0 of 10

    Arbitrary-order Magnus expansion is shown to have commutator-scaling error bounds and a polynomial-cost quantum circuit, yielding a time-dependent Hamiltonian simulation algorithm with O~(αbar^{1+1/p} T^{1+1/p}/ε^{1/p...

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