pyqpanda_alg.QPCA.QPCA¶

Functions¶

qpca(sample_A, k)

QPCA is a quantum version of the classical PCA algorithm, which is widely used in data analysis and machine learning.

Module Contents¶

pyqpanda_alg.QPCA.QPCA.qpca(sample_A, k)¶

QPCA is a quantum version of the classical PCA algorithm, which is widely used in data analysis and machine learning.

Parameters:

sample_A: ndarray

the input matrix for analysis

k: int

the dimension to reduce

Returns:

out: ndarray

the output matrix after reducing dimension

Examples:

import numpy as np
from pyqpanda_alg.QPCA import qpca

A = np.array([[-1, 2], [-2, -1], [-1, -2], [1, 3], [2, 1], [3, 2]])
data_q = qpca(A, 1)
print(data_q)