pennylane_quantuminspire package¶

Submodules¶

pennylane_quantuminspire.cqasm.convert_to_qiskit(q_node: QNode, *args: Any, **kwargs: Any) → QuantumCircuit[source]¶: Return the QiskitCircuit representation of the quantum function.

pennylane_quantuminspire.cqasm.dumps(q_node: QNode, *args: Any, **kwargs: Any) → str[source]¶: Return the cQASM representation of the quantum function.

class pennylane_quantuminspire.qi_device.QIDevice(backend: QIBackend, **kwargs: Any)[source]¶

Bases: RemoteDevice

execute(circuits: ~pennylane.tape.tape.QuantumTape | ~collections.abc.Sequence[~pennylane.tape.tape.QuantumTape], execution_config: ~pennylane.devices.execution_config.ExecutionConfig = ExecutionConfig(grad_on_execution=None, use_device_gradient=None, use_device_jacobian_product=None, gradient_method=None, gradient_keyword_arguments={}, device_options={}, interface=<Interface.NUMPY: 'numpy'>, derivative_order=1, mcm_config=MCMConfig(mcm_method=None, postselect_mode=None), convert_to_numpy=True, executor_backend=<class 'pennylane.concurrency.executors.native.multiproc.MPPoolExec'>)) → Result | Sequence[Result][source]¶: Execute a circuit or a batch of circuits and turn it into results.

class pennylane_quantuminspire.qi_instructions.Asm(backend_name: str = '', asm_code: str = '', id: Any | None = None)[source]¶

Bases: Operation