129 lines
3.0 KiB
Python
129 lines
3.0 KiB
Python
# Module: basic_functions
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# 测试
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def test():
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print('\nSuccess in the installation of Guan package!\n')
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import guan
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guan.statistics_of_guan_package()
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# 泡利矩阵
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def sigma_0():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.eye(2)
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def sigma_x():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.array([[0, 1],[1, 0]])
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def sigma_y():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.array([[0, -1j],[1j, 0]])
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def sigma_z():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.array([[1, 0],[0, -1]])
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# 泡利矩阵的张量积
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def sigma_00():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.kron(guan.sigma_0(), guan.sigma_0())
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def sigma_0x():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.kron(guan.sigma_0(), guan.sigma_x())
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def sigma_0y():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.kron(guan.sigma_0(), guan.sigma_y())
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def sigma_0z():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.kron(guan.sigma_0(), guan.sigma_z())
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def sigma_x0():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.kron(guan.sigma_x(), guan.sigma_0())
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def sigma_xx():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.kron(guan.sigma_x(), guan.sigma_x())
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def sigma_xy():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.kron(guan.sigma_x(), guan.sigma_y())
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def sigma_xz():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.kron(guan.sigma_x(), guan.sigma_z())
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def sigma_y0():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.kron(guan.sigma_y(), guan.sigma_0())
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def sigma_yx():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.kron(guan.sigma_y(), guan.sigma_x())
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def sigma_yy():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.kron(guan.sigma_y(), guan.sigma_y())
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def sigma_yz():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.kron(guan.sigma_y(), guan.sigma_z())
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def sigma_z0():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.kron(guan.sigma_z(), guan.sigma_0())
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def sigma_zx():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.kron(guan.sigma_z(), guan.sigma_x())
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def sigma_zy():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.kron(guan.sigma_z(), guan.sigma_y())
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def sigma_zz():
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import numpy as np
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import guan
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guan.statistics_of_guan_package()
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return np.kron(guan.sigma_z(), guan.sigma_z()) |