dwave.cloud.solver.StructuredSolver.sample_ising¶

StructuredSolver.
sample_ising
(linear, quadratic, offset=0, **params)[source]¶ Sample from the specified Ising model.
Parameters:  linear (dict/list) – Linear biases of the Ising problem. If a dict, should be of the form {v: bias, …} where v is a spinvalued variable and bias is its associated bias. If a list, it is treated as a list of biases where the indices are the variable labels.
 quadratic (dict[(int, int), float]) – Quadratic terms of the model (J), stored in a dict. With keys that are 2tuples of variables and values are quadratic biases associated with the pair of variables (the interaction).
 offset (optional, default=0) – Constant offset applied to the model.
 **params – Parameters for the sampling method, solverspecific.
Returns: Future
Examples
This example creates a client using the local system’s default DWave Cloud Client configuration file, which is configured to access a DWave 2000Q QPU, submits a simple Ising problem (opposite linear biases on two coupled qubits), and samples 5 times.
>>> from dwave.cloud import Client >>> with Client.from_config() as client: ... solver = client.get_solver() ... u, v = next(iter(solver.edges)) ... computation = solver.sample_ising({u: 1, v: 1}, {}, num_reads=5) # doctest: +SKIP ... for i in range(5): ... print(computation.samples[i][u], computation.samples[i][v]) ... ... (1, 1) (1, 1) (1, 1) (1, 1) (1, 1)