High performance computing and quantum trajectory method in CPU and GPU systems

3rd International Conference on Mathematical Modeling in Physical Sciences

物理学;数学

Wisniewska, Joanna^1 ; Sawerwain, Marek^2 ; Leoski, Wieslaw^3

Institute of Information Systems, Faculty of Cybernetics, Military University of Technology, Kaliskiego 2, Warsaw

00-908, Poland^1

Institute of Control and Computation Engineering, University of Zielona Góra, Licealna 9, Zielona Góra

65-417, Poland^2

Quantum Optics and Engineering Division, Institute of Physics, University of Zielona Góra, Licealna 9, Zielona Góra

65-417, Poland^3

关键词: Computational routines;    Computational solutions;    Computational technique;    High performance computing;    Multi-core cpus;    Parallel Computation;    Quantum Computing;    Quantum trajectories;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/574/1/012127/pdf
DOI  :  10.1088/1742-6596/574/1/012127

来源: IOP

【 摘 要 】

Nowadays, a dynamic progress in computational techniques allows for development of various methods, which offer significant speed-up of computations, especially those related to the problems of quantum optics and quantum computing. In this work, we propose computational solutions which re-implement the quantum trajectory method (QTM) algorithm in modern parallel computation environments in which multi-core CPUs and modern many-core GPUs can be used. In consequence, new computational routines are developed in more effective way than those applied in other commonly used packages, such as Quantum Optics Toolbox (QOT) for Matlab or QuTIP for Python.