dwave.system.samplers.DWaveSampler.sample¶
- DWaveSampler.sample(bqm, warnings=None, **kwargs)[source]¶
Sample from the specified binary quadratic model.
- Parameters
bqm (
BinaryQuadraticModel
) – The binary quadratic model. Must matchnodelist
andedgelist
.warnings (
WarningAction
, optional) – Defines what warning action to take, if any. See Warnings. The default behaviour is to ignore warnings.**kwargs – Optional keyword arguments for the sampling method, specified per solver in
parameters
. D-Wave System Documentation’s solver guide describes the parameters and properties supported on the D-Wave system.
- Returns
Sample set constructed from a (non-blocking)
Future
-like object. In it this sampler also provides timing information in the info field as described in the D-Wave System Documentation’s timing guide.- Return type
Examples
This example submits a two-variable Ising problem mapped directly to two adjacent qubits on a D-Wave system.
qubit_a
is the first qubit in the QPU’s indexed list of qubits andqubit_b
is one of the qubits coupled to it. Given sufficient reads (here 100), the quantum computer should return the best solution, \({1, -1}\) onqubit_a
andqubit_b
, respectively, as its first sample (samples are ordered from lowest energy).>>> from dwave.system import DWaveSampler ... >>> sampler = DWaveSampler() ... >>> qubit_a = sampler.nodelist[0] >>> qubit_b = next(iter(sampler.adjacency[qubit_a])) >>> sampleset = sampler.sample_ising({qubit_a: -1, qubit_b: 1}, ... {}, ... num_reads=100) >>> sampleset.first.sample[qubit_a] == 1 and sampleset.first.sample[qubit_b] == -1 True
See Ocean Glossary for explanations of technical terms in descriptions of Ocean tools.