dwave.cloud.client.Client.get_solver#

Client.get_solver(name=None, refresh=False, **filters)[source]#

Load the configuration for a single solver.

Makes a blocking web call to {endpoint}/solvers/remote/{solver_name}/, where {endpoint} is a URL configured for the client, and returns a Solver instance that can be used to submit sampling problems to the D-Wave API and retrieve results.

Parameters:

  • name (str) – ID of the requested solver. None returns the default solver. If default solver is not configured, None returns the first available solver in Client’s class (QPU/software/base).

  • **filters (keyword arguments, optional) – Dictionary of filters over features this solver has to have. For a list of feature names and values, see: get_solvers().

  • order_by (callable/str/None, default='avg_load') – Solver sorting key function (or Solver attribute/item dot-separated path). By default, solvers are sorted by average load. For details, see get_solvers().

  • refresh (bool) – Return solver from cache (if cached with get_solvers()), unless set to True.

Returns:

Solver

Examples

This example creates two solvers for a client instantiated from a local system’s auto-detected default configuration file, which configures a connection to a D-Wave resource that provides two solvers. The first uses the default solver, the second selects a hybrid CQM solver.

>>> from dwave.cloud import Client
>>> client = Client.from_config()    
>>> client.get_solvers()   
BQMSolver(id='hybrid_binary_quadratic_model_version2p'),
DQMSolver(id='hybrid_discrete_quadratic_model_version1p'),
CQMSolver(id='hybrid_constrained_quadratic_model_version1p'),
StructuredSolver(id='Advantage_system6.1')]
>>> solver1 = client.get_solver()    
>>> solver2 = client.get_solver(supported_problem_types__issubset={'cqm'})    
>>> solver1.name  
'Advantage_system6.1'
>>> solver2.name   
'hybrid_constrained_quadratic_model_version1p'
>>> # code that uses client
>>> client.close()