Recent content by Arubaito

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    Parametrization of uniformly distributed n dimensional states

    You're right, my question should have been more precise.
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    Parametrization of uniformly distributed n dimensional states

    What you're saying helps if I wanted to sample vectors, but I think it doesn't help me much if I want to manipulate analitically the state
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    Parametrization of uniformly distributed n dimensional states

    I see, you mean that I should consider also the appropriate element of area, which following your pointer should be: (\sin{\theta_1})^{n-2}d\theta_1(\sin{\theta_2})^{n-3}d\theta_2 \ldots d\theta_{n-2} d\phi_1 d\phi_2\ldots d\phi_{n-1} with 0\leq\theta_i\leq\pi and 0\leq\phi_i\leq 2\pi.
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    Parametrization of uniformly distributed n dimensional states

    Hi Tom, I took a look, however the parametrization I need should be in the computational basis. What is wrong with: |\phi\rangle=\cos\frac{\theta_1}{2}|0\rangle \\ + e^{i\phi_1}\sin\frac{\theta_1}{2}\cos\frac{\theta_2}{2}|1\rangle \\ +...
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    Parametrization of uniformly distributed n dimensional states

    I am not very sure that andrien parametrization suffices. Following mfb, dou you think that something of the following form works? |\phi\rangle=\cos\frac{\theta_1}{2}|0\rangle + e^{i\phi_1}\sin\frac{\theta_1}{2}\cos\frac{\theta_2}{2}|1\rangle +...
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    Parametrization of uniformly distributed n dimensional states

    Thanks for your pointer. Probably my question was a little ambiguous. The thing is that I want to use the parametrization to integrate over the space of states, that's why I was looking for a generalization of spherical coordinates.
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    Parametrization of uniformly distributed n dimensional states

    Any two dimensional state can be written as: |\phi\rangle=\cos\frac{\theta}{2}|0\rangle+e^{i\phi}\sin\frac{\theta}{2}|1\rangle where 0\leq\theta\leq\pi and 0\leq\phi\leq 2\pi, and 0\leq\theta\leq\pi. To pick one such state uniformly at random it suffices to draw \phi at random from its...
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