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.