QSW_MPI: a framework for parallel simulation of quantum stochastic walks
arXiv:2003.02450 · doi:10.1016/j.cpc.2020.107724
Abstract
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.
15 pages, 15 Figures
References in corpus (7)
- Environment-Assisted Quantum Walks in Photosynthetic Energy Transfer
- Exponential algorithmic speedup by quantum walk
- A quantum walk assisted approximate algorithm for bounded NP optimisation problems
- Combinatorial optimisation via highly efficient quantum walks
- Experimental quantum stochastic walks simulating associative memory of Hopfield neural networks
- Continuous-Time Quantum Random Walks Require Discrete Space
- Reply to Glos et al. [arXiv:1801.01294] on QSWalk.m package performance