A qubit-efficient variational selected configuration-interaction method

IF 5.6 2区 物理与天体物理 Q1 PHYSICS, MULTIDISCIPLINARY Quantum Science and Technology Pub Date : 2024-10-28 DOI:10.1088/2058-9565/ad7d32
Daniel Yoffe, Noga Entin, Amir Natan and Adi Makmal
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Abstract

Finding the ground-state energy of molecules is an important and challenging computational problem for which quantum computing can potentially find efficient solutions. The variational quantum eigensolver (VQE) is a quantum algorithm that tackles the molecular groundstate problem and is regarded as one of the flagships of quantum computing. Yet, to date, only very small molecules were computed via VQE, due to high noise levels in current quantum devices. Here we present an alternative variational quantum scheme that requires significantly less qubits than VQE. The reduction in the qubit number allows for shallower circuits to be sufficient, rendering the method more resistant to noise. The proposed algorithm, termed variational quantum selected-configuration-interaction (VQ-SCI), is based on: (a) representing the target groundstate as a superposition of Slater determinant configurations, encoded directly upon the quantum computational basis states; and (b) selecting a-priory only the most dominant configurations. This is demonstrated through a set of groundstate calculations of the H2, LiH, BeH2, H2O, NH3 and C2H4 molecules in the sto-3g basis set, performed on IBM quantum devices. We show that the VQ-SCI reaches the full configuration interaction energy within chemical accuracy using the lowest number of qubits reported to date. Moreover, when the SCI matrix is generated ‘on the fly’, the VQ-SCI requires exponentially less memory than classical SCI methods. This offers a potential remedy to a severe memory bottleneck problem in classical SCI calculations. Finally, the proposed scheme is general and can be straightforwardly applied for finding the groundstate of any Hermitian matrix, outside the chemical context.
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一种有效的量子比特变分选定配置相互作用方法
寻找分子的基态能量是一个重要而具有挑战性的计算问题,量子计算有可能找到有效的解决方案。变分量子求解器(VQE)是一种解决分子基态问题的量子算法,被视为量子计算的旗舰之一。然而,迄今为止,由于当前量子设备的噪声水平较高,只有非常小的分子才能通过 VQE 进行计算。在这里,我们提出了另一种变分量子方案,它所需的量子比特数量大大少于 VQE。量子比特数的减少使较浅的电路就足够了,从而使该方法对噪声的抵抗力更强。所提出的算法被称为变异量子选择配置交互(VQ-SCI),其基础是:(a)将目标基态表示为斯莱特行列式配置的叠加,直接编码在量子计算基态上;(b)只选择最主要的配置。我们通过在 IBM 量子设备上对 H2、LiH、BeH2、H2O、NH3 和 C2H4 分子的一组基态计算(sto-3g 基态集)来证明这一点。我们的研究表明,VQ-SCI 利用迄今为止报告的最低数量的量子比特,在化学精度范围内达到了全构型相互作用能。此外,当 "即时 "生成 SCI 矩阵时,VQ-SCI 所需的内存比经典 SCI 方法少得多。这为解决经典 SCI 计算中严重的内存瓶颈问题提供了一种潜在的补救方法。最后,所提出的方案是通用的,可以直接用于寻找化学背景之外的任何赫米矩阵的基态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Quantum Science and Technology
Quantum Science and Technology Materials Science-Materials Science (miscellaneous)
CiteScore
11.20
自引率
3.00%
发文量
133
期刊介绍: Driven by advances in technology and experimental capability, the last decade has seen the emergence of quantum technology: a new praxis for controlling the quantum world. It is now possible to engineer complex, multi-component systems that merge the once distinct fields of quantum optics and condensed matter physics. Quantum Science and Technology is a new multidisciplinary, electronic-only journal, devoted to publishing research of the highest quality and impact covering theoretical and experimental advances in the fundamental science and application of all quantum-enabled technologies.
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