Man and History: Python 量子運算（二五）：積

2023年2月16日星期四

Python 量子運算（二五）：積

2023/02/09

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Fig. 25.1. Product.

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array_like

ndarray

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numpy.dot 點積

numpy.inner 內積

numpy.cross 叉積

numpy.kron 克羅內克積

numpy.outer 外積

sympy TensorProduct 張量積

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Mathematical functions

numpy.cross

numpy.multiply

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Linear algebra ( numpy.linalg )

numpy.dot

numpy.linalg.multi_dot

numpy.vdot

numpy.inner

numpy.outer

numpy.matmul

numpy.tensordot

numpy.einsum

numpy.einsum_path

numpy.linalg.matrix_power

numpy.kron

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代碼 25.1

# Program 25.1：Product
import matplotlib as mpl
import matplotlib.pyplot as plt

# figure setting
mpl.rcParams['text.usetex'] = True
mpl.rcParams['text.latex.preamble'] = r'\usepackage{{amsmath}}'
mpl.rcParams['font.size'] = 40
fig, ax = plt.subplots(figsize=(16, 16))

# Notation
nttn = ['Notation',
        '',
        r'$numpy.dot$',
        r'$numpy.inner$',
        r'$numpy.cross$',
        r'$numpy.kron$',
        r'$numpy.outer$',
        '',
        r'$sympy.physics.quantum.tensorproduct.TensorProduct$',
        ''
        ]

# Description
dctn = ['Description',
        '',
        r'${\rm Dot\ product\ of\ two\ arrays.}$',                    # 1
        r'${\rm Inner\ product\ of\ two\ arrays.}$',                  # 2
        r'${\rm Cross\ product\ of\ two\ (arrays\ of)\ vectors.}$',   # 3
        r'${\rm Kronecker\ product\ of\ two\ arrays.}$',              # 4
        r'${\rm Outer\ product\ of\ two\  (arrays\ of)\ vectors.}$',  # 5
        '',
        '',
        r'${\rm Abstract\ tensor\ product.}$'                         # 6
        ]


for i in range(10):
    ax.text(0.05, 1-0.1*i, nttn[i])
    ax.text(0.33, 1-0.1*i, dctn[i])

ax.set_axis_off()

# plt.savefig('/content/drive/My Drive/pqc/0025_001.png')
plt.show()