Source code for pennylane.transforms.specs

# Copyright 2018-2021 Xanadu Quantum Technologies Inc.

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"""Code for resource estimation"""

[docs]def specs(qnode, max_expansion=None): """Resource information about a quantum circuit. This transform converts a QNode into a callable that provides resource information about the circuit. Args: qnode (.QNode): the QNode to calculate the specifications for Keyword Args: max_expansion (int): The number of times the internal circuit should be expanded when calculating the specification. Defaults to ``qnode.max_expansion``. Returns: A function that has the same argument signature as ``qnode``. This function returns a dictionary of information about qnode structure. **Example** .. code-block:: python3 x = np.array([0.1, 0.2]) dev = qml.device('default.qubit', wires=2) @qml.qnode(dev) def circuit(x, add_ry=True): qml.RX(x[0], wires=0) qml.CNOT(wires=(0,1)) if add_ry: qml.RY(x[1], wires=1) return qml.probs(wires=(0,1)) >>> qml.specs(circuit)(x, add_ry=False) {'gate_sizes': defaultdict(int, {1: 1, 2: 1}), 'gate_types': defaultdict(int, {'RX': 1, 'CNOT': 1}), 'num_operations': 2, 'num_observables': 1, 'num_diagonalizing_gates': 0, 'num_used_wires': 2, 'depth': 2, 'num_device_wires': 2, 'device_name': 'default.qubit.autograd', 'diff_method': 'backprop'} """ def specs_qnode(*args, **kwargs): """Returns information on the structure and makeup of provided QNode. Dictionary keys: * ``"num_operations"`` * ``"num_observables"`` * ``"num_diagonalizing_gates"`` * ``"gate_sizes"``: dictionary mapping gate number of wires to number of occurances * ``"gate_types"``: dictionary mapping gate types to number of occurances * ``"num_used_wires"``: number of wires used by the circuit * ``"num_device_wires"``: number of wires in device * ``"depth"``: longest path in directed acyclic graph representation * ``"dev_short_name"``: name of QNode device * ``"diff_method"`` Potential Additional Information: * ``"num_trainable_params"``: number of individual scalars that are trainable * ``"num_parameter_shift_executions"``: number of times circuit will execute when calculating the derivative Returns: dict[str, Union[defaultdict,int]]: dictionaries that contain QNode specifications """ if max_expansion is not None: initial_max_expansion = qnode.max_expansion qnode.max_expansion = max_expansion qnode.construct(args, kwargs) if max_expansion is not None: qnode.max_expansion = initial_max_expansion return qnode.specs return specs_qnode