pyCTQW: a continuous-time quantum walk simulator on distributed memory computers. In the general field of quantum information and computation, quantum walks are playing an increasingly important role in constructing physical models and quantum algorithms. We have recently developed a distributed memory software package pyCTQW, with an object-oriented Python interface, that allows efficient simulation of large multi-particle CTQW (continuous-time quantum walk)-based systems. In this paper, we present an introduction to the Python and Fortran interfaces of pyCTQW, discuss various numerical methods of calculating the matrix exponential, and demonstrate the performance behavior of pyCTQW on a distributed memory cluster. In particular, the Chebyshev and Krylov-subspace methods for calculating the quantum walk propagation are provided, as well as methods for visualization and data analysis.
Keywords for this software
References in zbMATH (referenced in 3 articles , 1 standard article )
Showing results 1 to 3 of 3.
- Adam Glos, Jarosław Adam Miszczak, Mateusz Ostaszewski: QSWalk.jl: Julia package for quantum stochastic walks analysis (2018) arXiv
- Piccinini, Enrico; Benedetti, Claudia; Siloi, Ilaria; Paris, Matteo G. A.; Bordone, Paolo: GPU-accelerated algorithms for many-particle continuous-time quantum walks (2017)
- Izaac, Josh A.; Wang, Jingbo B.: \textitpyCTQW: a continuous-time quantum walk simulator on distributed memory computers (2015)