Quantum Tensor-Product Decomposition from Choi-State Tomography

Refik Mansuroglu, Arsalan Adil, Michael J. Hartmann, Zoë Holmes, Andrew T. Sornborger
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Abstract

The Schmidt decomposition is the go-to tool for measuring bipartite entanglement of pure quantum states. Similarly, it is possible to study the entangling features of a quantum operation using its operator-Schmidt or tensor-product decomposition. While quantum technological implementations of the former are thoroughly studied, entangling properties on the operator level are harder to extract in the quantum computational framework because of the exponential nature of sample complexity. Here, we present an algorithm for unbalanced partitions into a small subsystem and a large one (the environment) to compute the tensor-product decomposition of a unitary the effect of which on the small subsystem is captured in classical memory, while the effect on the environment is accessible as a quantum resource. This quantum algorithm may be used to make predictions about operator nonlocality and effective open quantum dynamics on a subsystem, as well as for finding low-rank approximations and low-depth compilations of quantum circuit unitaries. We demonstrate the method and its applications on a time-evolution unitary of an isotropic Heisenberg model in two dimensions.

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从崔态断层扫描看量子张量积分解
施密特分解是测量纯量子态双向纠缠的常用工具。同样,利用算子-施密特分解或张量-乘积分解也可以研究量子运算的纠缠特性。虽然前者的量子技术实现已被深入研究,但由于样本复杂度的指数性质,算子层面的纠缠特性在量子计算框架中更难提取。在这里,我们提出了一种将不平衡分区分为一个小子系统和一个大子系统(环境)的算法,用于计算一个单元的张量-乘积分解,其对小子系统的影响可在经典存储器中捕获,而对环境的影响则可作为量子资源获取。这种量子算法可用于预测子系统上的算子非局域性和有效开放量子动力学,也可用于寻找量子电路单元的低阶近似和低深度编译。我们演示了该方法及其在二维各向同性海森堡模型的时间演化单元上的应用。
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