Mentor for Quantum Computation / Quantum Machine Learning / Quantum circuit simulations

[Shahnawaz Ahmed]

Hi, I am a Physics and Electronics student from BITS Pilani University, India. I have an active interest in Quantum Computation, especially the more recent field of Quantum Machine Learning. Many new things can be implemented here : Quantum Linear Equation Solver [http://arxiv.org/abs/0811.3171], Quantum Support Vector Machines [http://arxiv.org/abs/1307.0471]. 

However, after going through previous posts I found that there are no developers maintaining the Quantum Mechanics module.

Has Peter Wittek [http://peterwittek.com/] been involved with any SymPy development ? He seems to be a good fit as a mentor.

Do libraries like JQuantum [http://jquantum.sourceforge.net/jQuantum.pdf], QuTIP [https://github.com/qutip/qutip] come under the scope of SymPy ? 

Quantum Computing seems to interest a lot of people and there are several libraries and small tools available but none of them seem to have active developers. 

Can anyone help me out here ? 

[Jason Moore]

Most machine learning algorithms are numeric in practice. I don't know anything about quantum learning but for SymPy to have interest you'd need to find things that are symbolic in nature. Are all of these things you mention implementable and useful from a symbolic point of view?

Jason
moorepants.info
+01 530-601-9791

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[Shahnawaz Ahmed]

Does the quantum linear equation solver satisfy this criteria ? It's symbolic in the same way as Sympy's linear equation solver. It's that instead of solutions to an equation it gives an operator from which one can extract properties of the solution vector. In that way it's symbolic rather than numeric in my opinion.

You can read about it here.
https://en.m.wikipedia.org/wiki/Quantum_algorithm_for_linear_systems_of_equations