BasicEntanglerAnsatz#

class pyqit.ansatzes.BasicEntanglerAnsatz(n_qubits: int, n_layers: int = 2, rotation=None)[source]#

Bases: BaseAnsatz

Basic entangler layers: one rotation per qubit and a CNOT ring per layer.

Wraps PennyLane’s BasicEntanglerLayers (Schuld et al. 2020 lineage). The weights are one tensor, weights, of shape (n_layers, n_qubits).

Parameters:

  • n_qubits (int)

  • n_layers (int, default 2)

  • rotation (type, optional) – Single-qubit rotation gate class. PennyLane’s default is qml.RX.

Examples

>>> import pennylane as qml
>>> from pyqit.ansatzes import BasicEntanglerAnsatz
>>> ansatz = BasicEntanglerAnsatz(n_qubits=4, n_layers=2, rotation=qml.RY)
>>> ansatz.get_weight_shapes()
{'weights': (2, 4)}
build_circuit(weights)[source]#

Apply the layers. Expects weights[“weights”] of shape (n_layers, n_qubits).

get_circuit_func()#

Returns the bound method to be passed to a QNode.

classmethod get_test_params()[source]#

List constructor kwargs used to parametrize this class in the test suite.

get_weight_shapes() → dict[source]#

Return {“weights”: (n_layers, n_qubits)}.