Gustavo Bezerra
Hiperwalk - Simulation of Quantum Walks with Heterogeneous High-Performance Computing
In this paper, we presented the new version of Hiperwalk – a quantum walk simulator that uses high-performance computing. Hiperwalk 2.0b is easier to use and install than its previous version, as it is distributed as a Python library with optional support to Hiperblas. This work was presented during the IEEE Quantum Week 2023 conference.
The abstract is as follows. “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.”
Tags: Paper - Quantum Simulation - Quantum Walk - Graphs - Conference - IEEE - Quantum Week