qrao.QuantumRandomAccessOptimizer

class QuantumRandomAccessOptimizer(min_eigen_solver, encoding, rounding_scheme=None)

Quantum Random Access Optimizer.

Parameters:

• min_eigen_solver (Union[MinimumEigensolver, MinimumEigensolver]) – The minimum eigensolver to use for solving the relaxed problem (typically an instance of VQE or QAOA).

• encoding (QuantumRandomAccessEncoding) – The QuantumRandomAccessEncoding, which must have already been encode()``ed with a ``QuadraticProgram.

• rounding_scheme (Optional[RoundingScheme]) – The rounding scheme. If None is provided, SemideterministicRounding() will be used.

__init__(min_eigen_solver, encoding, rounding_scheme=None)

Parameters:

• min_eigen_solver (Union[MinimumEigensolver, MinimumEigensolver]) – The minimum eigensolver to use for solving the relaxed problem (typically an instance of VQE or QAOA).

• encoding (QuantumRandomAccessEncoding) – The QuantumRandomAccessEncoding, which must have already been encode()``ed with a ``QuadraticProgram.

• rounding_scheme (Optional[RoundingScheme]) – The rounding scheme. If None is provided, SemideterministicRounding() will be used.

Methods

__init__(min_eigen_solver, encoding[, ...])	type min_eigen_solver: Union[MinimumEigensolver, MinimumEigensolver]
get_compatibility_msg(problem)	Checks whether a given problem can be solved with the optimizer implementing this method.
is_compatible(problem)	Checks whether a given problem can be solved with the optimizer implementing this method.
solve([problem])	Tries to solves the given problem using the optimizer.
solve_relaxed()	Solve the relaxed Hamiltonian given the encoding provided to the constructor.

Attributes

encoding	The encoding.
min_eigen_solver	The minimum eigensolver.