\textit{pyCTQW}: a continuous-time quantum walk simulator on distributed memory computers

DOI10.1016/j.cpc.2014.09.011zbMath1344.81019OpenAlexW2010386944MaRDI QIDQ310323

Jingbo B. Wang, Josh A. Izaac

Publication date: 8 September 2016

Published in: Computer Physics Communications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cpc.2014.09.011

zbMATH Keywords

Krylov subspace methodPadé approximantChebyshev matrix expansioncontinuous-time quantum walkmultiple walkers

Mathematics Subject Classification ID

Computational methods for problems pertaining to quantum theory (81-08) Software, source code, etc. for problems pertaining to quantum theory (81-04) Quantum stochastic calculus (81S25) Quantum information, communication, networks (quantum-theoretic aspects) (81P45)

Related Items (6)

Quantum walk and its application domains: a systematic review ⋮ QSW\_MPI: a framework for parallel simulation of quantum stochastic walks ⋮ \textsc{QSWalk.jl}: Julia package for quantum stochastic walks analysis ⋮ Qswalk: a \textit {Mathematica} package for quantum stochastic walks on arbitrary graphs ⋮ GPU-accelerated algorithms for many-particle continuous-time quantum walks ⋮ pyCTQW

Uses Software

• Expokit
• SLEPc
• PETSc
• F2PY
• MATLAB expm

Cites Work

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• A comparison of different propagation schemes for the time dependent Schrödinger equation
• Matrix exponentials and parallel prefix computation in a quantum control problem
• Levinson's theorem for graphs II
• Computing the Action of the Matrix Exponential, with an Application to Exponential Integrators
• SLEPc
• Exponential algorithmic speedup by a quantum walk
• The Scaling and Squaring Method for the Matrix Exponential Revisited
• Nineteen Dubious Ways to Compute the Exponential of a Matrix
• Expokit
• Nineteen Dubious Ways to Compute the Exponential of a Matrix, Twenty-Five Years Later
• A classical approach to the graph isomorphism problem using quantum walks

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