GroverOptimizer¶

class GroverOptimizer(num_value_qubits, num_iterations=3, quantum_instance=None, converters=None, penalty=None)[source]¶

Bases: qiskit.optimization.algorithms.optimization_algorithm.OptimizationAlgorithm

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

Parameters

num_value_qubits (int) – The number of value qubits.
num_iterations (int) – The number of iterations the algorithm will search with no improvement.
quantum_instance (Union[BaseBackend, Backend, QuantumInstance, None]) – Instance of selected backend, defaults to Aer’s statevector simulator.
converters (Union[QuadraticProgramConverter, List[QuadraticProgramConverter], None]) – The converters to use for converting a problem into a different form. By default, when None is specified, an internally created instance of QuadraticProgramToQubo will be used.
penalty (Optional[float]) – The penalty factor used in the default QuadraticProgramToQubo converter

Raises

TypeError – When there one of converters is an invalid type.

Methods

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

Attributes

quantum_instance¶

The quantum instance to run the circuits.