© 2026 Aqora Quantum S.A.S.

Terms Privacy Legal Notice

arXiv:1606.04974 · Computer Physics Communications

QSWalk: A Mathematica package for quantum stochastic walks on arbitrary graphs

Peter E. Falloon, Jeremy Rodriguez, Jingbo B. Wang

Published Apr 18, 2017• 22 citations

DOI: 10.1016/j.cpc.2017.03.014

Related papers

QSWalk.jl: Julia package for quantum stochastic walks analysis

Adam Glos, Jarosław Adam Miszczak, Mateusz Ostaszewski

arXiv:1801.01294•Computer Physics Communications•Sep 13, 2018•10 citations

Non-Markovianity in discrete-time open quantum random walk on arbitrary graphs

Monika Rani, Supriyo Dutta, Subhashish Banerjee

arXiv:2407.20888•Quantum Information Processing•Dec 14, 2024•3 citations

A quantum walk inspired model for distributed computing on arbitrary graphs

Mathieu Roget, Giuseppe Di Molfetta

arXiv:2502.21232•Natural Computing•Jul 14, 2026•0 citations

A Quantum Walk-Based Scheme for Distributed Searching on Arbitrary Graphs

Mathieu Roget, Giuseppe Di Molfetta

arXiv:2310.10451•Communications in computer and information science•Jan 1, 2024•1 citation

qwViz: Visualisation of quantum walks on graphs

Scott M. Berry, Paul David Bourke, Jingbo B. Wang

Computer Physics Communications•Jun 25, 2011•36 citations

Reply to Glos et al. [arXiv:1801.01294] on QSWalk.m package performance

Peter E. Falloon, Jingbo B. Wang

We address comments in a recent paper by Glos et al.\ [CPC 235 (2018) 414, arXiv:1801.01294] regarding a slowdown in the performance of our QSWalk.m package for large matrix sizes. We show that the underlying issue has been rectified in the most recent version of Mathematica. We recommend all users of QSWalk.m to upgrade to version 11.3 or above.

arXiv:1903.01323•Feb 28, 2019•1 citation