qxmt.feature_maps.pennylane.npqc module

qxmt.feature_maps.pennylane.npqc module#

class qxmt.feature_maps.pennylane.npqc.NPQCFeatureMap(n_qubits, reps, c)

Bases: BaseFeatureMap

NPQC feature map class. Reference: https://arxiv.org/abs/2108.01039

Parameters:

  • BaseFeatureMap (_type_) – base feature map class

  • n_qubits (int)

  • reps (int)

  • c (float)

Example

>>> import numpy as np
>>> from qxmt.feature_maps.pennylane.npqc import NPQCFeatureMap
>>> feature_map = NPQCFeatureMap(2, 2, 0.1)
>>> feature_map.draw(x_dim=2)
0: ──RY(1.60)──RZ(1.59)──RY(1.57)─╭●──RY(1.60)──RZ(1.59)──RY(1.57)─╭●──RY(1.60)─┤
1: ──RY(1.60)──RZ(1.59)───────────╰Z───────────────────────────────╰Z───────────┤
__init__(n_qubits, reps, c)

“Initialize the NPQC feature map class.

Parameters:

  • n_qubits (int) – number of qubits

  • reps (int) – number of repetitions

  • c (float) – scaling factor

  • seed (int) – random seed

Return type:

None

feature_map(x)

Create quantum circuit of NPQC feature map.

Parameters:

x (np.ndarray) – input data

Return type:

None