Pyctqw

- Multiparticle Hamiltonian construction replaced with a brand new algorithm that is more efficient and utilizes significantly less memory
- `ismorphicQ()` gains the ability to save certificates and accept certificates as input in addition to adjacency matrices
- `AllIsomorphicQ()` saves certificates rather than recalculating them, becoming more efficient
- `GraphISO_furer.py` and furer graphs added
- `GraphISO_K.py` and K=4, K=8 K-equivalent graphs added

Fortran library and Python module to calculate continuous-time quantum walks

This is intended to provide a framework to quickly and easily work with quantum
walkers, take advantage of high performance computing, and allow easy visualisation.

For more information on how to use this package, please see the [online documentation](http://pyctqw.readthedocs.org).