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arXiv 2212.02482quant-phphysics.chem-ph

在囚禁离子量子计算机上进行轨道优化的对相关电子模拟

Orbital-optimized pair-correlated electron simulations on trapped-ion quantum computers

Luning Zhao, Joshua Goings, Kenneth Wright, Jason Nguyen, Jungsang Kim, Sonika Johri, Kyujin Shin, Woomin Kyoung, Johanna I. Fuks, June-Koo Kevin Rhee, Young Min Rhee

AI总结:

针对近期含噪量子硬件上 VQE 拟设表达能力与电路代价的平衡问题,本文提出轨道优化的对相关 uCCSD 近似及高效囚禁离子电路,并在 IonQ 上以最多12量子比特完成端到端验证。

摘要:

变分量子本征求解器(VQE)是在近期量子计算机上求解电子结构问题最有前景的方法之一。实践中 VQE 的一个关键挑战是,鉴于近期量子计算机上量子操作存在噪声的现实,需要在 VQE 拟设的表达能力与实现该拟设所需的量子门数量之间取得平衡。在本工作中,我们考虑了对单双激发酉耦合簇(uCCSD)拟设的一种轨道优化对相关近似,并报告了一种面向囚禁离子架构的高效量子电路实现。我们表明,通过测量低阶约化密度矩阵(RDM),轨道优化可以恢复大量额外的电子相关能,而不会牺牲效率。在小分子解离过程中,该方法在无噪声量子模拟器上运行时,能够在强相关区域给出定性准确的预测。在 IonQ 的 Harmony 和 Aria 囚禁离子量子计算机上,我们运行了端到端 VQE 算法,最多使用 12 个量子比特和 72 个变分参数——这是量子硬件上规模最大的采用相关波函数的完整 VQE 模拟。我们发现,即使不采用误差缓解技术,所预测的不同分子几何结构下的相对能量也与无噪声模拟器的结果高度一致。

英文摘要:

Variational quantum eigensolvers (VQE) are among the most promising approaches for solving electronic structure problems on near-term quantum computers. A critical challenge for VQE in practice is that one needs to strike a balance between the expressivity of the VQE ansatz versus the number of quantum gates required to implement the ansatz, given the reality of noisy quantum operations on near-term quantum computers. In this work, we consider an orbital-optimized pair-correlated approximation to the unitary coupled cluster with singles and doubles (uCCSD) ansatz and report a highly efficient quantum circuit implementation for trapped-ion architectures. We show that orbital optimization can recover significant additional electron correlation energy without sacrificing efficiency through measurements of low-order reduced density matrices (RDMs). In the dissociation of small molecules, the method gives qualitatively accurate predictions in the strongly-correlated regime when running on noise-free quantum simulators. On IonQ's Harmony and Aria trapped-ion quantum computers, we run end-to-end VQE algorithms with up to 12 qubits and 72 variational parameters - the largest full VQE simulation with a correlated wave function on quantum hardware. We find that even without error mitigation techniques, the predicted relative energies across different molecular geometries are in excellent agreement with noise-free simulators.

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