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首页> 外文期刊>Chemical Physics: A Journal Devoted to Experimental and Theoretical Research Involving Problems of Both a Chemical and Physical Nature >Direct application of the phase estimation algorithm to find the eigenvalues of the Hamiltonians
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Direct application of the phase estimation algorithm to find the eigenvalues of the Hamiltonians

机译:直接应用相位估计算法找到汉密尔顿人的特征等级

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The eigenvalue of a Hamiltonian, H, can be estimated through the phase estimation algorithm given the matrix exponential of the Hamiltonian, exp(-iH). The difficulty of this exponentiation impedes the applications of the phase estimation algorithm particularly when H is composed of non-commuting terms. In this paper, we present a method to use the Hamiltonian matrix directly in the phase estimation algorithm by using an ancilla based framework: In this framework, we also show how to find the power of the Hamiltonian matrix-which is necessary in the phase estimation algorithm-through the successive applications. This may eliminate the necessity of matrix exponential for the phase estimation algorithm and therefore provide an efficient way to estimate the eigenvalues of particular Hamiltonians. The classical and quantum algorithmic complexities of the framework are analyzed for the Hamiltonians which can be written as a sum of simple unitary matrices and shown that a Hamiltonian of order 2(n) written as a sum of L number of simple terms can be used in the phase estimation algorithm with (n + 1 + logL) number of qubits and O(2(a) nL) number of quantum operations, where a is the number of iterations in the phase estimation. In addition, we use the Hamiltonian of the hydrogen molecule as an example system and present the simulation results for finding its ground state energy. (C) 2018 Elsevier B.V. All rights reserved.
机译:哈密​​尔顿H的特征值可以通过相位估计算法估算哈密顿,EXP(-H)的矩阵指数。本指数的难度将阶段估计算法的应用阻碍了尤其是当H由非通勤术语组成时。在本文中,我们介绍了一种使用Ancilla基于框架在阶段估计算法中使用Hamiltonian矩阵的方法:在本框架中,我们还展示了如何找到Hamiltonian矩阵的功率 - 在相位估计中是必要的算法 - 通过连续应用程序。这可以消除相位估计算法的矩阵指数的必要性,因此提供了估计特定Hamiltonians的特征值的有效方法。分析了框架的古典和量子算法复杂性,用于汉密尔顿人员可以写成简单的酉矩阵的总和,并显示为写入L次数的简单术语的总和的哈密顿人员可以使用具有(n + 1 + logl)Qubits数量的相位估计算法和o(2(a)nl)数量的量子操作,其中a是相位估计中的迭代次数。此外,我们使用氢分子的Hamiltonian作为示例系统,并呈现仿真结果以找到其地位能量。 (c)2018 Elsevier B.v.保留所有权利。

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