Python 量子運算(二六):機率幅
2022/12/08
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Fig. 26.1. Probability amplitude.
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代碼 26.1
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 | # Program 26.1:Probability amplitude import numpy as np import matplotlib as mpl import matplotlib.pyplot as plt from qiskit.visualization import plot_bloch_vector class Point: def __init__(self, x, y, z): self.x = x self.y = y self.z = z def Line(ax, A, B): ax.plot([A.x, B.x], [A.y, B.y], [A.z, B.z], 'b') return def Subplot_1(): ax = plt.subplot(221) s1 = ( r'$\vert 0 \rangle \equiv $' r'$\begin{bmatrix} 1 \\ 0 \end{bmatrix} \mapsto (0,0,1)$' ) s2 = ( r'$\vert 1 \rangle \equiv $' r'$\begin{bmatrix} 0 \\ 1 \end{bmatrix} \mapsto (0,0,-1)$' ) s3 = ( r'$\frac{\theta}{2}\ \mapsto\ \theta$' ) ax.text(0.15, 0.65, s1) ax.text(0.15, 0.30, s2, color='r') ax.text(0.41, 0.05, s3, color='r') ax.text(0.5, -0.055, '(a)', fontsize=20) ax.set_axis_off() return def Subplot_2(): ax1 = fig.add_subplot(222, projection='3d') # P1 = Point(0, 0, 1) # plot_bloch_vector([P1.x, P1.y, P1.z], ax=ax1) # ax1.scatter(P1.x, P1.y, P1.z) # P2 = Point(0, 0, 0) # Line(ax1, P1, P2) theta = np.pi / 6 rotation = (3/2) * np.pi # transfer 3d to qiskit 3d phi_1 = np.pi / 3 # 3d phi_2 = rotation + phi_1 # qiskit 3d PO = Point(0, 0, 0) PB_1 = Point(np.sin(theta)*np.cos(phi_1), np.sin(theta)*np.sin(phi_1), 0) PB_2 = Point(np.sin(theta)*np.cos(phi_2), np.sin(theta)*np.sin(phi_2), 0) PA_1 = Point(PB_1.x, PB_1.y, np.cos(theta)) PA_2 = Point(PB_2.x, PB_2.y, np.cos(theta)) plot_bloch_vector([PA_1.x, PA_1.y, PA_1.z], ax=ax1) # qiskit 3d Line(ax1, PO, PB_2) # Line(ax1, PO, PA_2) Line(ax1, PA_2, PB_2) # lables(psi) ax1.text(0.35, 0, 0.8, r"$\vert\psi\rangle$") ax1.text(0.05, 0, 0.4, r"$\theta$") ax1.text(-0.1, 0, -0.45, r"$\phi$") # curves: theta and phi theta_max = np.pi / 6 # angle between psi and z axis phi_max = np.pi / 3 # angle between psi and x axis phi_offset = -np.pi / 2 # xy coordinate rotation from matplotlib to qiskit curve_radius = 0.3 n = 20 c1 = np.linspace(0, theta_max, n) x1 = curve_radius * np.sin(c1) * np.cos(phi_max+phi_offset) y1 = curve_radius * np.sin(c1) * np.sin(phi_max+phi_offset) z1 = curve_radius * np.cos(c1) ax1.plot(x1, y1, z1, 'g', lw=2) # curve theta c2 = np.linspace(phi_offset, phi_max+phi_offset, n) x2 = curve_radius * np.cos(c2) y2 = curve_radius * np.sin(c2) z2 = c2 * 0 ax1.plot(x2, y2, z2, 'r', lw=2) # curve phi ax1.text(0, 0, -1.8, '(b)', fontsize=20) ax.set_axis_off() return def Subplot_3(): ax = plt.subplot(223) # string setting s1_1 = r'$\vert\psi\rangle$' s1_2 = ( r'$=\cos\frac{\theta}{2}\ \vert0\rangle' r'+e^{i\phi}\sin\frac{\theta}{2}\ \vert1\rangle$' ) s2 = ( r'$=\begin{bmatrix}\cos\frac{\theta}{2}\\$' r'$\ e^{i\phi}\sin\frac{\theta}{2}\ \end{bmatrix}$' ) s3 = r'$(0\leq\theta\leq\pi,\ 0\leq\phi<2\pi)$' # string output ax.text(0.10, 0.75, s1_1) ax.text(0.25, 0.75, s1_2) ax.text(0.25, 0.45, s2) ax.text(0.10, 0.15, s3) ax.text(0.5, -0.055, '(c)', fontsize=20) ax.set_axis_off() return def Subplot_4(): ax = plt.subplot(224) # string setting s1_1 = ( r'$\vert 0 \rangle(\sigma_z=+1):$' ) s1_2 = ( r'$p_0 = \ $' r'$\vert \langle 0 \vert \psi \rangle \vert ^2 = \ $' r'$\cos^2 \frac{\theta}{2}$' ) s2_1 = ( r'$\vert 1 \rangle(\sigma_z=-1):$' ) s2_2 = ( r'$p_1 = \ $' r'$\vert \langle 1 \vert \psi \rangle \vert ^2 = \ $' r'$\sin^2 \frac{\theta}{2}$' ) # string output ax.text(0.10, 0.75, s1_1) # equation 1 ax.text(0.10, 0.60, s1_2) # equation 1 ax.text(0.10, 0.35, s2_1) # equation 2 ax.text(0.10, 0.20, s2_2) # equation 2 plt.title('Probabilities', color='r') ax.text(0.5, -0.055, '(d)', fontsize=20) ax.set_axis_off() return # 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)) Subplot_1() Subplot_2() Subplot_3() Subplot_4() # plt.savefig('/content/drive/My Drive/pqc/0026_001.png') plt.show() |
解說:
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References
[1] 機率幅 - 維基百科,自由的百科全書
https://zh.wikipedia.org/zh-tw/%E6%A9%9F%E7%8E%87%E5%B9%85
[2] 零與一之間的威力 量子電腦的原理 - 科學月刊Science Monthly
https://www.scimonth.com.tw/archives/5158
[3] 機率的量子力學起源─從各種詮釋談起 – 4分33秒的科哲天地
[4] 機率幅(Probability amplitude) | 科學Online
https://highscope.ch.ntu.edu.tw/wordpress/?p=17771
[5] [閒聊]關於繞射是甚麼東西的個人意見 - 看板 Physics - 批踢踢實業坊
https://www.ptt.cc/bbs/Physics/M.1462700720.A.BE0.html
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Python 量子運算(目錄)
https://mandhistory.blogspot.com/2022/01/quantum-computing.html
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