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使用低深度量子电路和高精度评估化学系统的基态能量。

Evaluating Ground State Energies of Chemical Systems with Low-Depth Quantum Circuits and High Accuracy.

作者信息

Sun Shuo, Kumar Chandan, Shen Kevin, Shishenina Elvira, Mendl Christian B

机构信息

School of Computation, Information and Technology, Technical University of Munich, Boltzmannstraße 3, Garching 85748, Germany.

BMW Group Central Invention, Munich 80788, Germany.

出版信息

J Phys Chem A. 2025 Mar 13;129(10):2379-2386. doi: 10.1021/acs.jpca.4c07045. Epub 2025 Mar 3.

DOI:10.1021/acs.jpca.4c07045
PMID:40029977
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11912482/
Abstract

Quantum computers have the potential to efficiently solve the electronic structure problem but are currently limited by noise and shallow circuits. We present an enhanced Variational Quantum Eigensolver (VQE) ansatz based on the Qubit Coupled Cluster (QCC) approach that requires optimization of only parameters, where is the number of Pauli string generators, rather than the typical + 2 parameters, where is the number of qubits. We evaluate the ground state energies and molecular dissociation curves of strongly correlated molecules, namely O and Li, using active spaces of varying sizes in conjunction with our enhanced QCC ansatz, Unitary Coupled Cluster Single-Double (UCCSD) ansatz, and the classical Coupled Cluster Singles and Doubles (CCSD) method. Compared to UCCSD, our approach significantly reduces the number of parameters while maintaining high accuracy. Numerical simulations demonstrate the effectiveness of our approach, and experiments on superconducting and trapped-ion quantum computers showcase its practicality on real hardware. By eliminating the need for symmetry-restoring gates and reducing the number of parameters, our enhanced QCC ansatz enables accurate quantum chemistry calculations on near-term quantum devices for strongly correlated systems.

摘要

量子计算机有潜力高效解决电子结构问题,但目前受噪声和浅电路限制。我们提出一种基于量子比特耦合簇(QCC)方法的增强变分量子本征求解器(VQE)近似,该近似仅需优化(p)个参数,其中(p)是泡利串生成器的数量,而非典型的(n^2 + 2)个参数,其中(n)是量子比特的数量。我们使用不同大小的活性空间,结合我们的增强QCC近似、幺正耦合簇单双激发(UCCSD)近似以及经典耦合簇单双激发(CCSD)方法,评估强关联分子(即O和Li)的基态能量和分子解离曲线。与UCCSD相比,我们的方法在保持高精度的同时显著减少了参数数量。数值模拟证明了我们方法的有效性,在超导和囚禁离子量子计算机上的实验展示了其在实际硬件上的实用性。通过消除对对称性恢复门的需求并减少参数数量,我们的增强QCC近似能够在近期量子设备上对强关联系统进行精确的量子化学计算。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee5e/11912482/10d66f6bff36/jp4c07045_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee5e/11912482/d7b8dfb67dfa/jp4c07045_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee5e/11912482/d07188180e0d/jp4c07045_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee5e/11912482/3f1a0e8a064a/jp4c07045_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee5e/11912482/54e81f39e9b2/jp4c07045_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee5e/11912482/10d66f6bff36/jp4c07045_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee5e/11912482/d7b8dfb67dfa/jp4c07045_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee5e/11912482/d07188180e0d/jp4c07045_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee5e/11912482/3f1a0e8a064a/jp4c07045_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee5e/11912482/54e81f39e9b2/jp4c07045_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee5e/11912482/10d66f6bff36/jp4c07045_0005.jpg

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A quantum computing view on unitary coupled cluster theory.幺正耦合簇理论的量子计算视角。
Chem Soc Rev. 2022 Mar 7;51(5):1659-1684. doi: 10.1039/d1cs00932j.
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Noise-induced barren plateaus in variational quantum algorithms.变分量子算法中噪声诱导的贫瘠高原
Nat Commun. 2021 Nov 29;12(1):6961. doi: 10.1038/s41467-021-27045-6.
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Quantum HF/DFT-embedding algorithms for electronic structure calculations: Scaling up to complex molecular systems.用于电子结构计算的量子HF/DFT嵌入算法:扩展至复杂分子体系
J Chem Phys. 2021 Mar 21;154(11):114105. doi: 10.1063/5.0029536.
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Benchmarking Adaptive Variational Quantum Eigensolvers.自适应变分量子特征求解器的基准测试
Front Chem. 2020 Dec 4;8:606863. doi: 10.3389/fchem.2020.606863. eCollection 2020.
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A stochastic approach to unitary coupled cluster.一种用于单耦合簇的随机方法。
J Chem Phys. 2020 Dec 7;153(21):214106. doi: 10.1063/5.0026141.
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Resource-Efficient Chemistry on Quantum Computers with the Variational Quantum Eigensolver and the Double Unitary Coupled-Cluster Approach.基于变分量子本征求解器和双酉耦合簇方法的量子计算机上的资源高效化学。
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