Tensor-Network-Based Distributed Quantum Dynamics on Independent Quantum Computers
基于张量网络的独立量子计算机分布式量子动力学
Anurag Dwivedi, Melissa C. Revelle, Daniel S. Lobser, Brian K. McFarland, Edward C. Tortorici, Christopher G. Yale, Susan M. Clark, Philip Richerme, Srinivasan S. Iyengar
AI总结 提出基于张量网络的分布式量子计算方法,将多维时间演化算子分解为独立低维传播,在异构量子-经典架构上异步执行,并在离子阱量子计算机上实验验证,计算质子化水团簇振动光谱精度达4 cm⁻¹。
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我们提出了一种基于张量网络的方法,用于连续变量表示中化学波包动力学的分布式量子计算模拟。核心思想是:多维时间演化算子的张量网络表示自然诱导出一个提升的希尔伯特空间,其中动力学分解为一组独立的低维传播。这种变换将纠缠的量子演化转化为一组并行的计算任务,可以在异构量子与经典计算架构上异步执行。由此产生的形式体系建立了张量网络分解、均匀受控量子电路和异步分布式量子计算之间的直接联系。该方法旨在实现混合量子/经典实现,适用于通用异构量子硬件系统。由张量网络分解产生的异步分布式量子过程的实验实现是在桑迪亚国家实验室的离子阱量子计算机上进行的,其中电路使用原生部分纠缠$XX(\ heta)$门进行编译,与传统的完全纠缠分解相比,预期的两量子比特门保真度降低了30%以上。我们通过量子计算一个小型质子化水团簇的振动光谱来演示该方法,该团簇显示出关键的量子核行为。此类水团簇系统已被发现对实验作用光谱学和理论具有挑战性,而在这里,我们首次提供了与相应经典结果一致(误差在4 cm⁻¹以内)的振动光谱结果,从而展示了量子计算实现光谱精度的潜力。
We present an approach based on tensor networks for distributed quantum computing simulation of chemical wavepacket dynamics in a continuous variable representation. The central idea is that the tensor-network representation of the multidimensional time-evolution operator naturally induces an elevated Hilbert space where the dynamics decomposes into a set of independent lower-dimensional propagations. This transformation converts an entangled quantum evolution into a set of parallel computational tasks that can be executed asynchronously across heterogeneous quantum and classical computing architectures. The resulting formalism establishes a direct connection between tensor-network decompositions, uniformly controlled quantum circuits, and asynchronous distributed quantum computing. The approach is developed with a goal towards hybrid quantum/classical implementation, and is appropriate for a general heterogeneous mixture of quantum hardware systems. The experimental realization of the asynchronously distributed quantum processes that arise from the tensor-network decomposition are carried out on the Sandia National Laboratories' trapped-ion quantum computer, where the circuits are compiled using native partial-entangling $XX(\theta)$ gates, reducing the expected two-qubit gate infidelity by more than 30\% relative to conventional fully entangling decompositions. We demonstrate the methodology by quantum computing the vibrational spectra of a small protonated water cluster that shows critical quantum nuclear behavior. Such water cluster systems have been found to be challenging for experimental action spectroscopy and for theory, and here, for the first time, we provide results for vibrational spectroscopy that are in agreement with the respective classical results to within 4cm$^{-1}$, thus allowing for the potential for spectroscopic accuracy from quantum computations.