就目前的量子计算机发展水平而言，可以通过变分量子特征值求解算法（Variational-Quantum-Eigensolver，简称VQE），在量子计算机上实现化学模拟。 该算法作为用于寻找一个较大矩 …

In quantum computing, the variational quantum eigensolver (VQE) is a quantum algorithm for quantum chemistry, quantum simulations and optimization problems. It is a hybrid algorithm …

vqe 多用于求解量子体系的基态和低激发态，在 量子多体物理 、 量子化学 等领域具有广泛的应用前景。 为什么需要 VQE ？ 对于一个量子体系， 哈密顿量 H 的维数 是随体系规模指数增长的。

Chief among these methods is the Variational Quantum Eigensolver (VQE) that aims to solve for the ground state of a given Hamiltonian represented as a linear combination of Pauli terms, …

此方法便是结合Subspace Expansion Method与Subspace-search VQE来求激发态,首先求基态使用Subspace-search VQE求得基态波函数,再通过Subspace Expansion Method求得k-th激发态 …

A Variational Quantum Eigensolver (VQE for short), is a hybrid classical-quantum algorithm for finding eigenvalues of a matrix, first proposed in [1]. This notebook is a tutorial on how to build …

Download scientific diagram | Flowchart of the ADAPT-VQE algorithm. from publication: Variational quantum chemistry requires gate-error probabilities below the fault-tolerance …

VQE is an algorithm that searches for ground states using quantum states that can be efficiently described by a quantum computer. The algorithm is as follows: generate a quantum state …

变分量子特征值求解算法 (Variational-Quantum-Eigensolver，简称VQE) [1, 2]是用于找到一个矩阵 H （通常是一个较大矩阵）的特征值的量子与经典混合的算法。 当这个算法用在量子模拟时， …

Download scientific diagram | VQE algorithm flow chart in VQNet from publication: VQNet: Library for a Quantum-Classical Hybrid Neural Network | Deep learning is a modern approach to …