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 that uses both …

2 days ago · The Variational Quantum Eigensolver (VQE) is a hybrid quantum-classical algorithm for computing ground state energies of molecular systems. We implement VQE to calculate the potential …

Nov 5, 2022 · All the different components of the algorithm are reviewed in detail. These include the representation of Hamiltonians and wavefunctions on a quantum computer, the optimization process …

This lesson will introduce the variational quantum eigensolver, explain its importance as a foundational algorithm in quantum computing, and also explore its strengths and weaknesses.

Sep 22, 2025 · The Variational Quantum Eigensolver (VQE) is a flagship algorithm for quantum chemistry using near-term quantum computers [1]. It is an application of the Ritz variational principle, …

Variational Quantum Eigensolver (VQE) A modular, extensible Python framework for implementing Variational Quantum Eigensolver algorithms. Built with a mixin-based architecture that enables …

Sep 21, 2022 · We introduce the variational quantum state eigensolver (VQSE), which is analogous to VQE in that it variationally learns the largest eigenvalues of ρ as well as a gate sequence V that...

Oct 28, 2024 · In this study, we have done a comparative analysis of the parameters that constitute the VQE algorithm. This includes components such as basis, qubit mapping, ansatz, and optimizers used.

First, we introduce the VQE (Variational Quantum Eigensolver) algorithm, which is expected to be applied to material science and quantum chemistry. This algorithm is used to find the value of the …

Dec 25, 2024 · The Variational Quantum Eigensolver (VQE), introduced in 2014, has rapidly become a flagship algorithm for simulating ground-state properties on today’s noisy quantum computers.