HRL Laboratories, LLC, 3011 Malibu Canyon Road, Malibu, California90265, United States.
Department of Chemistry, Pritzker School of Molecular Engineering, James Franck Institute, Chicago Center for Theoretical Chemistry, University of Chicago, Chicago, Illinois60637, United States.
J Chem Theory Comput. 2022 Dec 13;18(12):7205-7217. doi: 10.1021/acs.jctc.2c00388. Epub 2022 Nov 8.
Quantum chemistry calculations of large, strongly correlated systems are typically limited by the computation cost that scales exponentially with the size of the system. Quantum algorithms, designed specifically for quantum computers, can alleviate this, but the resources required are still too large for today's quantum devices. Here, we present a quantum algorithm that combines a localization of multireference wave functions of chemical systems with quantum phase estimation (QPE) and variational unitary coupled cluster singles and doubles (UCCSD) to compute their ground-state energy. Our algorithm, termed "local active space unitary coupled cluster" (LAS-UCC), scales linearly with the system size for certain geometries, providing a polynomial reduction in the total number of gates compared with QPE, while providing accuracy above that of the variational quantum eigensolver using the UCCSD ansatz and also above that of the classical local active space self-consistent field. The accuracy of LAS-UCC is demonstrated by dissociating (H) into two H molecules and by breaking the two double bonds in -butadiene, and resource estimates are provided for linear chains of up to 20 H molecules.
对大型强关联体系进行量子化学计算通常受到计算成本的限制,计算成本随体系规模呈指数级增长。专为量子计算机设计的量子算法可以缓解这一问题,但所需的资源仍然远远超出当今量子设备的能力。在这里,我们提出了一种量子算法,该算法将化学系统的多参考波函数的局域化与量子相位估计 (QPE) 和变分幺正耦合簇单双激发 (UCCSD) 相结合,以计算其基态能量。我们的算法称为“局域活性空间幺正耦合簇”(LAS-UCC),对于某些几何形状,它的规模与系统大小呈线性关系,与 QPE 相比,总门数呈多项式减少,同时提供了高于 UCCSD 假设的变分量子本征求解器的精度,也高于经典局域活性空间自洽场的精度。LAS-UCC 的准确性通过将 (H) 离解成两个 H 分子和打破 -丁二烯中的两个双键来证明,并提供了长达 20 个 H 分子的线性链的资源估计。