Solver¶

A solver is a resource for solving problems.

Solvers are responsible for:

Encoding submitted problems

Checking submitted parameters

Decoding answers

Adding problems to a client’s submission queue

You can list all solvers available to a Client with its get_solvers() method and select and return one with its get_solver() method.

Class¶

dwave.cloud.solver.Solver¶: alias of dwave.cloud.solver.StructuredSolver

class dwave.cloud.solver.BaseSolver(client, data)¶

Base class for a general D-Wave solver.

This class provides Ising, QUBO and BQM sampling methods and encapsulates the solver description returned from the D-Wave cloud API.

Parameters:	client (`Client`) – Client that manages access to this solver. data (dict) – Data from the server describing this solver.

Examples

This example creates a client using the local system’s default D-Wave Cloud Client configuration file and checks the identity of its default solver.

>>> from dwave.cloud import Client
>>> with Client.from_config() as client:
...     solver = client.get_solver()
...     solver.id       # doctest: +SKIP
'EXAMPLE_2000Q_SYSTEM'

class dwave.cloud.solver.StructuredSolver(*args, **kwargs)¶

Class for D-Wave structured solvers.

This class provides Ising, QUBO and BQM sampling methods and encapsulates the solver description returned from the D-Wave cloud API.

Parameters:	client (`Client`) – Client that manages access to this solver. data (dict) – Data from the server describing this solver.

class dwave.cloud.solver.UnstructuredSolver(client, data)¶

Class for D-Wave unstructured solvers.

This class provides Ising, QUBO and BQM sampling methods and encapsulates the solver description returned from the D-Wave cloud API.

Parameters:	client (`Client`) – Client that manages access to this solver. data (dict) – Data from the server describing this solver.

Methods¶

`StructuredSolver.check_problem`(linear, quadratic)	Test if an Ising model matches the graph provided by the solver.
`StructuredSolver.sample_ising`(linear, …)	Sample from the specified Ising model.
`StructuredSolver.sample_qubo`(qubo, **params)	Sample from the specified QUBO.
`StructuredSolver.max_num_reads`(**params)	Returns the maximum number of reads for the given solver parameters.
`UnstructuredSolver.sample_ising`(linear, …)	Sample from the specified BQM.
`UnstructuredSolver.sample_qubo`(qubo, **params)	Sample from the specified QUBO.
`UnstructuredSolver.sample_bqm`(bqm, **params)	Sample from the specified BQM.

Properties¶

`BaseSolver.name`
`BaseSolver.online`	Is this solver online (or offline)?
`BaseSolver.avg_load`	Solver’s average load, at the time of description fetch.
`BaseSolver.qpu`	Is this a QPU-based solver?
`BaseSolver.software`	Is this a software-based solver?
`StructuredSolver.num_active_qubits`	The number of active (encoding) qubits.
`StructuredSolver.num_qubits`	Nominal number of qubits on chip (includes active AND inactive).
`StructuredSolver.is_vfyc`	Is this a virtual full-yield chip?
`StructuredSolver.has_flux_biases`	Solver supports/accepts `flux_biases`.
`StructuredSolver.has_anneal_schedule`	Solver supports/accepts `anneal_schedule`.
`StructuredSolver.lower_noise`