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Parallelize mat.expm() or add new solvers #4

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@hadsed

Simple profiling with cProfile and callgrind show that the majority of the computation time, for small numbers of qubits at least (<9 qubits), are dominated in time complexity by the matrix-exponential routine. Parallelizing the routine for multicore may increase performance.

Or maybe it isn't worth pushing expm(). Instead, we could implement the standard FFT or a 4th-order Runge-Kutta method like the one used in JADE.

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