ADMMOptimizer¶

class ADMMOptimizer(qubo_optimizer=None, continuous_optimizer=None, params=None)[source]¶

Bases: qiskit.optimization.algorithms.optimization_algorithm.OptimizationAlgorithm

An implementation of the ADMM-based heuristic.

This algorithm is introduced in [1].

References:

[1] Gambella, C., & Simonetto, A. (2020). Multi-block ADMM Heuristics for Mixed-Binary: Optimization on Classical and Quantum Computers. arXiv preprint arXiv:2001.02069.

Parameters

qubo_optimizer (Optional[OptimizationAlgorithm]) – An instance of OptimizationAlgorithm that can effectively solve QUBO problems. If not specified then MinimumEigenOptimizer initialized with an instance of NumPyMinimumEigensolver will be used.
continuous_optimizer (Optional[OptimizationAlgorithm]) – An instance of OptimizationAlgorithm that can solve continuous problems. If not specified then SlsqpOptimizer will be used.
params (Optional[ADMMParameters]) – An instance of ADMMParameters.

Methods

`get_compatibility_msg`	Checks whether a given problem can be solved with the optimizer implementing this method.
`is_compatible`	Checks whether a given problem can be solved with the optimizer implementing this method.
`solve`	Tries to solves the given problem using ADMM algorithm.

Attributes

parameters¶

Returns current parameters of the optimizer.