[2406.08186] Hiperwalk: Simulation of Quantum Walks with Heterogeneous High-Performance Computing
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Quantum Physics

arXiv:2406.08186 (quant-ph)
[Submitted on 12 Jun 2024]

Title:Hiperwalk: Simulation of Quantum Walks with Heterogeneous High-Performance Computing

Authors:Paulo Motta, Gustavo A. Bezerra, Anderson F. P. Santos, Renato Portugal
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Abstract:The Hiperwalk package is designed to facilitate the simulation of quantum walks using heterogeneous high-performance computing, taking advantage of the parallel processing power of diverse processors such as CPUs, GPUs, and acceleration cards. This package enables the simulation of both the continuous-time and discrete-time quantum walk models, effectively modeling the behavior of quantum systems on large graphs. Hiperwalk features a user-friendly Python package frontend with comprehensive documentation, as well as a high-performance C-based inner core that leverages parallel computing for efficient linear algebra calculations. This versatile tool empowers researchers to better understand quantum walk behavior, optimize implementation, and explore a wide range of potential applications, including spatial search algorithms.
Comments: 16 pages, 6 figures
Subjects: Quantum Physics (quant-ph); Mathematical Software (cs.MS)
Cite as: arXiv:2406.08186 [quant-ph]
  (or arXiv:2406.08186v1 [quant-ph] for this version)
  https://doi.org/10.48550/arXiv.2406.08186
Journal reference: Proceedings of Quantum Week 2023
Related DOI: https://doi.org/10.1109/QCE57702.2023.00055

Submission history

From: Renato Portugal [view email]
[v1] Wed, 12 Jun 2024 13:17:05 UTC (850 KB)
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