Towards Memory Access Optimization in Quantum Computing

DOI

10.2991/eusflat-19.2019.65How to use a DOI?

Keywords

Quantum computing Quantum simulating D-GM environment

Abstract

Due to the lack of quantum hardware, quantum simulation (QS) is the most common method to study quantum computing. Even so, simulators and simulations should be properly built to use the maxim computational power possible. This work focuses on the main problem related to the memory accesses, representing a bottleneck not just for QS, but for computer science research as a whole. The proposed methodology collaborates with the memory usage reduction, mitigating the effects of this disparity of performance between memory and other computers peripherals. The results have achieved improvements about memory, and overall speed of circuit simulations, showing it can be applied not only for QS, but also for related researches which need to develop better memory access pattern. Regarding the D-GM simulator, the reflects of this research are presented on functions of controlled operators, such as dense, primary and secondary diagonal patterns, having an improvement of execution time in order of 50%.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Mateus Nascimento
AU  - Anderson Avila
AU  - Renata Reisen
AU  - Mauricio Pilla
PY  - 2019/08
DA  - 2019/08
TI  - Towards Memory Access Optimization in Quantum Computing
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 467
EP  - 473
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.65
DO  - 10.2991/eusflat-19.2019.65
ID  - Nascimento2019/08
ER  -