Skip to main contentIBM Quantum Documentation
This page is from an old version of Qiskit SDK and does not exist in the latest version. We recommend you migrate to the latest version. See the release notes for more information.
Important

IBM Quantum Platform is moving and this version will be sunset on July 1. To get started on the new platform, read the migration guide.

qiskit.algorithms.minimum_eigensolvers

Minimum Eigensolvers Package

qiskit.algorithms.minimum_eigensolvers

Minimum Eigensolvers

MinimumEigensolver()The minimum eigensolver interface.
NumPyMinimumEigensolver([filter_criterion])The NumPy minimum eigensolver algorithm.
VQE(estimator, ansatz, optimizer, *[, ...])The variational quantum eigensolver (VQE) algorithm.
AdaptVQE(solver, *[, gradient_threshold, ...])The Adaptive Variational Quantum Eigensolver algorithm.
SamplingMinimumEigensolver()The Sampling Minimum Eigensolver Interface.
SamplingVQE(sampler, ansatz, optimizer, *[, ...])The Variational Quantum Eigensolver algorithm, optimized for diagonal Hamiltonians.
QAOA(sampler, optimizer, *[, reps, ...])The Quantum Approximate Optimization Algorithm (QAOA).
MinimumEigensolverResult()Minimum eigensolver result.
NumPyMinimumEigensolverResult()NumPy minimum eigensolver result.
VQEResult()Variational quantum eigensolver result.
AdaptVQEResult()AdaptVQE Result.
SamplingMinimumEigensolverResult()Sampling Minimum Eigensolver Result.
SamplingVQEResult()VQE Result.
Was this page helpful?
Report a bug or request content on GitHub.