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Chemical basis of Trotter-Suzuki errors in quantum chemistry simulation

机译:量子化学模拟中Trotter-Suzuki误差的化学基础

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摘要

Although the simulation of quantum chemistry is one of the most anticipated applications of quantum computing, the scaling of known upper bounds on the complexity of these algorithms is daunting. Prior work has bounded errors due to discretization of the time evolution (known as "Trotterization") in terms of the norm of the error operator and analyzed scaling with respect to the number of spin orbitals. However, we find that these error bounds can be loose by up to 16 orders of magnitude for some molecules. Furthermore, numerical results for small systems fail to reveal any clear correlation between ground-state error and number of spin orbitals. We instead argue that chemical properties, such as the maximum nuclear charge in a molecule and the filling fraction of orbitals, can be decisive for determining the cost of a quantum simulation. Our analysis motivates several strategies to use classical processing to further reduce the required Trotter step size and estimate the necessary number of steps, without requiring additional quantum resources. Finally, we demonstrate improved methods for state preparation techniques which are asymptotically superior to proposals in the simulation literature.
机译:尽管量子化学的模拟是量子计算最令人期待的应用之一,但是这些算法复杂性的已知上限的缩放令人生畏。由于时间演化的离散化(称为“特罗特化”),根据误差算子的范数,现有技术已经限制了误差,并分析了自旋轨道数量的缩放。但是,我们发现对于某些分子,这些误差范围可能会松弛多达16个数量级。此外,小型系统的数值结果无法揭示基态误差与自旋轨道数之间的任何明显关联。相反,我们认为化学性质(例如分子中的最大核电荷和轨道的填充分数)对于确定量子模拟的成本可能具有决定性作用。我们的分析激发了几种策略,可以使用经典处理来进一步减小所需的Trotter步长并估计所需的步数,而无需额外的量子资源。最后,我们演示了状态准备技术的改进方法,这些方法渐近地优于仿真文献中的建议。

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