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arXiv 2109.07987quant-phcs.NAmath.NAphysics.chem-ph
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量子哈密顿模拟的部分随机Trotter算法

A Partially Random Trotter Algorithm for Quantum Hamiltonian Simulations

Shi Jin, Xiantao Li

摘要:

给定哈密顿量,幺正算符的计算一直是许多量子算法的核心。受现有的确定性和随机方法的启发,我们提出了一种混合方法,其中在每个时间步评估具有大振幅的哈密顿量,而其余的条款随机评估。得到了均方误差的界,以及浓度界。均方误差由方差项和偏置项组成,分别由哈密顿项的随机采样和算子分裂误差引起。利用偏差/方差权衡,可以通过平衡两者来最小化误差。浓度界限提供了对门的数量的估计。通过在经典计算机上的数值实验验证了估计。

英文摘要:

Given the Hamiltonian, the evaluation of unitary operators has been at the heart of many quantum algorithms. Motivated by existing deterministic and random methods, we present a hybrid approach, where Hamiltonians with large amplitude are evaluated at each time step, while the remaining terms are evaluated at random. The bound for the mean square error is obtained, together with a concentration bound. The mean square error consists of a variance term and a bias term, arising respectively from the random sampling of the Hamiltonian terms and the operator splitting error. Leveraging on the bias/variance trade-off, the error can be minimized by balancing the two. The concentration bound provides an estimate on the number of gates. The estimates are verified by using numerical experiments on classical computers.

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