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arXiv 1701.02691quant-ph
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利用么正耦合团簇模型计算分子能量的量子计算策略

Strategies for quantum computing molecular energies using the unitary coupled cluster ansatz

Jonathan Romero, Ryan Babbush, Jarrod R. McClean, Cornelius Hempel, Peter Love, Alán Aspuru-Guzik

摘要:

变分量子本征求解器(VQE)算法将量子计算机高效计算期望值的能力与经典优化例程相结合,以近似量子系统的基态能量。本文研究了VQE在酉耦合团簇(UCC)模拟分子能量中的应用。我们引入了新的策略,以减少电路深度的UCC的实施和提高优化的波函数的基础上有效的经典近似的集群振幅。此外,我们提出了一种分析方法来计算的能量梯度,降低了几个数量级的梯度估计的采样成本相比,数值梯度。我们说明了我们的方法与四个氢原子,表现出强相关性的系统的数值模拟,并表明,电路深度的VQE使用UCC ananomaly可以减少而不引入显着损失的准确性在最终的波函数和能量。

英文摘要:

The variational quantum eigensolver (VQE) algorithm combines the ability of quantum computers to efficiently compute expectation values with a classical optimization routine in order to approximate ground state energies of quantum systems. In this paper, we study the application of VQE to the simulation of molecular energies using the unitary coupled cluster (UCC) ansatz. We introduce new strategies to reduce the circuit depth for the implementation of UCC and improve the optimization of the wavefunction based on efficient classical approximations of the cluster amplitudes. Additionally, we propose an analytical method to compute the energy gradient that reduces the sampling cost for gradient estimation by several orders of magnitude compared to numerical gradients. We illustrate our methodology with numerical simulations for a system of four hydrogen atoms that exhibit strong correlation and show that the circuit depth of VQE using a UCC ansatz can be reduced without introducing significant loss of accuracy in the final wavefunctions and energies.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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