Back to Search Start Over

Alibaba Cloud Quantum Development Platform: Large-Scale Classical Simulation of Quantum Circuits

Authors :
Zhang, Fang
Huang, Cupjin
Newman, Michael
Cai, Junjie
Yu, Huanjun
Tian, Zhengxiong
Yuan, Bo
Xu, Haihong
Wu, Junyin
Gao, Xun
Chen, Jianxin
Szegedy, Mario
Shi, Yaoyun
Publication Year :
2019

Abstract

We report, in a sequence of notes, our work on the Alibaba Cloud Quantum Development Platform(AC-QDP). AC-QDP provides a set of tools for aiding the development of both quantum computing algorithms and quantum processors, and is powered by a large-scale classical simulator deployed on Alibaba Cloud. In this note, we report the computational experiments demonstrating the classical simulation capability of AC-QDP. We use as a benchmark the random quantum circuits designed for Google's Bristlecone QPU {\cite{GRCS}}. We simulate Bristlecone-70 circuits with depth $1 + 32 + 1$ in $0.43$ second per amplitude, using $1449$ Alibaba Cloud Elastic Computing Service (ECS) instances, each with $88$ Intel Xeon(Skylake) Platinum 8163 vCPU cores @ 2.5 GHz and $160$ gigabytes of memory. By comparison, the previously best reported results for the same tasks are $104$ and $135$ seconds, using NASA's HPC Pleiades and Electra systems, respectively ({arXiv:1811.09599}). Furthermore, we report simulations of Bristlecone-70 with depth $1+36+1$ and depth $1+40+1$ in $5.6$ and $580.7$ seconds per amplitude, respectively. To the best of our knowledge, these are the first successful simulations of instances at these depths.<br />Comment: 5 pages, 1 figure. Comments are welcome. We renamed our platform to avoid confusion with other products with similar name

Subjects

Subjects :
Quantum Physics

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1907.11217
Document Type :
Working Paper