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Optimization algorithms (qiskit.optimization.algorithms)

Algorithms for optimization problems.

Base classes for algorithms and results

OptimizationAlgorithm

An abstract class for optimization algorithms in Qiskit’s optimization module.

MultiStartOptimizer

An abstract class that implements multi start optimization and should be sub-classed by other optimizers.

OptimizationResult

A base class for optimization results.

Algorithms and results

ADMMOptimizationResult

ADMMOptimization Result.

ADMMOptimizer

An implementation of the ADMM-based heuristic.

ADMMParameters

Defines a set of parameters for ADMM optimizer.

ADMMState

Internal computation state of the ADMM implementation.

CobylaOptimizer

The SciPy COBYLA optimizer wrapped as an Qiskit OptimizationAlgorithm.

CplexOptimizer

The CPLEX optimizer wrapped as an Qiskit OptimizationAlgorithm.

GroverOptimizationResult

A result object for Grover Optimization methods.

GroverOptimizer

Uses Grover Adaptive Search (GAS) to find the minimum of a QUBO function.

MinimumEigenOptimizationResult

Minimum Eigen Optimizer Result.

MinimumEigenOptimizer

A wrapper for minimum eigen solvers from Qiskit Aqua.

OptimizationResultStatus

Termination status of an optimization algorithm.

RecursiveMinimumEigenOptimizationResult

Recursive Eigen Optimizer Result.

RecursiveMinimumEigenOptimizer

A meta-algorithm that applies a recursive optimization.

IntermediateResult

Defines whether the intermediate results of RecursiveMinimumEigenOptimizer at each iteration should be stored and returned to the end user.

SlsqpOptimizationResult

SLSQP optimization result, defines additional properties that may be returned by the optimizer.

SlsqpOptimizer

The SciPy SLSQP optimizer wrapped as an Qiskit OptimizationAlgorithm.

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