SecondOrderExpansion

class SecondOrderExpansion(feature_dimension, depth=2, entangler_map=None, entanglement='full', data_map_func=<function self_product>)

DEPRECATED. Second Order Expansion feature map.

This is a sub-class of PauliZExpansion where z_order is fixed at 2.

Parameters

feature_dimension (int) – The number of features
depth (int) – The number of repeated circuits. Defaults to 2, has a minimum value of 1.
entangler_map (Optional[List[List[int]]]) – Describes the connectivity of qubits, each list in the overall list describes [source, target]. Defaults to None where the map is created as per entanglement parameter. Note that the order in the list is the order of applying the two-qubit gate.
entanglement (str) – (‘full’ | ‘linear’), generate the qubit connectivity by a predefined topology. Defaults to full which connects every qubit to each other. Linear connects each qubit to the next.
data_map_func (Callable[[ndarray], float]) – A mapping function for data x which can be supplied to override the default mapping from self_product().

Attributes

returns feature dimension

returns number of qubits

returns whether or not the sub-class support parameterized circuit

SecondOrderExpansion.construct_circuit(x, qr=None, inverse=False)

Construct the second order expansion based on given data.

Parameters

x (Union(numpy.ndarray, list[Parameter], ParameterVector)) – 1-D to-be-transformed data.
qr (QuantumRegister, optional) – the QuantumRegister object for the circuit, if None, generate new registers with name q.
inverse (bool, optional) – whether or not inverse the circuit

Returns

a quantum circuit transform data x.

Return type

QuantumCircuit

Raises

static SecondOrderExpansion.get_entangler_map(map_type, num_qubits)

get entangle map

static SecondOrderExpansion.validate_entangler_map(entangler_map, num_qubits)

validate entangler map

Was this page helpful?

Report a bug or request content on GitHub.