Client object¶
The module implementing the Client class.
- class qibo_client.qibo_client.Client(token: str, url: str = 'https://cloud.qibo.science')¶
Bases:
object
Class to manage the interaction with the remote server.
- check_client_server_qibo_versions()¶
Check that client and server qibo package installed versions match.
Raise assertion error if the two versions are not the same.
- run_circuit(circuit: Circuit, device: str, nshots: int | None = None) QuantumState | MeasurementOutcomes | CircuitResult | None ¶
Run circuit on the cluster.
- Parameters:
circuit (Circuit) – the QASM representation of the circuit to run
nshots (int) – number of shots, mandatory for non-simulation devices, defaults to nshots=100 for simulation partitions
device (str) – the device to run the circuit on.
wait_for_results (bool) – whether to let the client hang until server results are ready or not. Defaults to True.
- Returns:
the result of the computation. None if the job raised an error.
- Return type:
Optional[QiboJobResult]
- print_quota_info()¶
Logs the formatted user quota info table.
- print_job_info()¶
Logs the formatted user quota info table.
Job object¶
- class qibo_client.qibo_job.QiboJobStatus(value)¶
Bases:
Enum
An enumeration.
- QUEUEING = 'queueing'¶
- PENDING = 'pending'¶
- RUNNING = 'running'¶
- POSTPROCESSING = 'postprocessing'¶
- SUCCESS = 'success'¶
- ERROR = 'error'¶
- class qibo_client.qibo_job.QiboJob(pid: str, base_url: str = 'https://cloud.qibo.science', circuit: Circuit | None = None, nshots: int | None = None, device: str | None = None)¶
Bases:
object
- refresh()¶
Refreshes job information from server.
This method does not query the results from server.
- status() QiboJobStatus ¶
- result(wait: int = 5, verbose: bool = False) QuantumState | None ¶
Send requests to server checking whether the job is completed.
This function populates the Client.results_folder and Client.results_path attributes.
- Returns:
the numpy array with the results of the computation. None if the job raised an error.
- Return type:
T.Optional[np.ndarray]