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1.0.0 - 2020-07-01 Feature Release This is a major revision of QSW_MPI. The focus of this release is the expansion of the simulation capabilities of QSW_MPI while focussing the scope of the package through the removal of features which are better supported through pre-existing alternatives (specifically file I/O and visualisation). Added Generalised support for quantum stochastic walks, including the non-moralising quantum stochastic walk through the qsw_mpi.MPI.LQSW and qsw_mpi.MPI.GQSW classes. Experimental support for sparse systems following the Gorini–Kossakowski–Sudarshan–Lindblad equation in its diagonalised form through the qsw_mpi.MPI.GKSL class. Support for MPI-enabled parallel output to HDF5 using H5Py via the non-user accessible module qsw_mpi.parallel_io. Additional operator types including the canonical Markov chain transition matrix, and those required for the demoralisation correction scheme. Changed All simulation types are now subclasses a generalised qsw_mpi.MPI.walk class. This breaks compatibility with version 0.0.1. qsw_mpi.MPI.walk.step and qsw_mpi.MPI.walk.series have been simplified, gathering of simulation results, or saving of the simulation results is now carried out through the qsw_mpi.MPI.walk.gather_result, qsw_mpi.MPI.walk.gather_populations, qsw_mpi.MPI.save_result or qsw_mpi.MPI.save_populations. Removed Removed visualisation module qsw_mpi.plot. For basic visualisation, direct use of Matplotlib and Networkx is recommended. Removed dedicated I/O module qsw_mpi.io. For HDF5 file operations, direct use of H5Py is recommended.
quantum stochastic walk, open quantum walk, Markovian dynamics, Lindblad master equation, parallel computation, python, MPI, fortran
quantum stochastic walk, open quantum walk, Markovian dynamics, Lindblad master equation, parallel computation, python, MPI, fortran
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