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QSW_MPI: A framework for parallel simulation of quantum stochastic walks

The University of Western Australia
Matwiejew, Edric ; Wang, Jingbo
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.17632/r8jsx4xxgv.1&rft.title=QSW_MPI: A framework for parallel simulation of quantum stochastic walks&rft.identifier=10.17632/r8jsx4xxgv.1&rft.publisher=Mendeley Data&rft.description=QSW_MPI is a Python package developed for time-series simulation of continuous-time quantum stochastic walks. This model allows for the study of Markovian open quantum systems in the Lindblad formalism, including a generalisation of the continuous-time random walk and continuous-time quantum walk. Consisting of a Python interface accessing parallelised Fortran libraries utilising sparse data structures, QSW_MPI is scalable to massively parallel computers, which makes possible the simulation of a wide range of walk dynamics on directed and undirected graphs of arbitrary complexity.&rft.creator=Matwiejew, Edric &rft.creator=Wang, Jingbo &rft.date=2020&rft.relation=http://research-repository.uwa.edu.au/en/publications/91e79376-c8c4-4258-84cc-9305c5de0036&rft_subject=Computational Physics&rft.type=dataset&rft.language=English Access the data

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QSW_MPI is a Python package developed for time-series simulation of continuous-time quantum stochastic walks. This model allows for the study of Markovian open quantum systems in the Lindblad formalism, including a generalisation of the continuous-time random walk and continuous-time quantum walk. Consisting of a Python interface accessing parallelised Fortran libraries utilising sparse data structures, QSW_MPI is scalable to massively parallel computers, which makes possible the simulation of a wide range of walk dynamics on directed and undirected graphs of arbitrary complexity.

Issued: 2020-12-12

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