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首页> 外国专利> IMPLEMENTATION OF VARIATIONAL QUANTUM EIGENSOLVER ALGORITHM BY USING TENSOR NETWORK FRAMEWORK

IMPLEMENTATION OF VARIATIONAL QUANTUM EIGENSOLVER ALGORITHM BY USING TENSOR NETWORK FRAMEWORK

机译：使用张量网络框架实现变分量子Eigensolver算法

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The present disclosure relates generally to the field of quantum computing, and, in particular, to techniques for performing hybrid quantum-classical computations to implement a Variational Quantum Eigensolver (VQE) algorithm. In particular, these techniques involve using a tensor network framework in a quantum computing device to implement a quantum subroutine of the VQE algorithm. With this tensor network framework, the quantum computing device is able to accurately evaluate any-order partial derivative(s) of an objective function by simply shifting one or more variational parameters of a unitary operator by a threshold value. Said shifting does not change a structure of an ansatz state itself, and the threshold value depends on the type ofthe unitary operator, which in turn depends on the particular application, i.e. the computational tasks to be solved. Moreover, by using such accurately evaluated partial derivatives of the objective function, it is also possible to improve the efficiency of implementing a classical optimization loop of the VQE algorithm.
机译：本公开一般涉及量子计算领域，并且尤其涉及用于执行混合量子经典计算以实现变分量子Eigensolver（VQE）算法的技术。特别地，这些技术涉及在量子计算设备中使用张量网络框架来实现VQE算法的量子子程序。利用这种张量网络框架，量子计算设备能够通过简单地将单一操作者的一个或多个变分参数通过阈值来准确地评估目标函数的任何顺序部分导数。所述移位不改变ANSATZ状态本身的结构，并且阈值取决于单一运算符的类型，这又取决于特定应用程序，即要解决的计算任务。此外，通过使用目标函数的这种精确评估的部分衍生物，还可以提高实现VQE算法的经典优化环路的效率。

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