论文标题

经典优化的汉密尔顿模拟

Classically optimized Hamiltonian simulation

论文作者

Keever, Conor Mc, Lubasch, Michael

论文摘要

哈密​​顿模拟是量子计算机实现量子优势的有前途的应用。我们介绍基于张量网络方法的经典算法,以优化此任务的量子电路。我们表明,与Trotter产品公式相比,经典优化的电路可以更准确地数量级,并显着延长了总仿真时间。

Hamiltonian simulation is a promising application for quantum computers to achieve a quantum advantage. We present classical algorithms based on tensor network methods to optimize quantum circuits for this task. We show that, compared to Trotter product formulas, the classically optimized circuits can be orders of magnitude more accurate and significantly extend the total simulation time.

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