Special Session: Impact of Noise on Quantum Algorithms in Noisy Intermediate-Scale Quantum Systems

被引：9
|
作者：
Volya, Daniel [1 ]
Mishra, Prabhat [1 ]
机构：
[1] Univ Florida, Dept Comp & Informat Sci & Engn, Gainesville, FL 32611 USA
来源：
2020 IEEE 38TH INTERNATIONAL CONFERENCE ON COMPUTER DESIGN (ICCD 2020) | 2020年
关键词：
Quantum computing; decoherence; noise;
D O I：
10.1109/ICCD50377.2020.00013
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A major challenge in realizing efficient and powerful quantum algorithms is quantum noise. Quantum noise itself is a sophisticated topic that is not seen in the classical domain. In this paper, we explore the impact of noise on quantum algorithms in Noisy Intermediate-Scale Quantum (NISQ) systems. This paper first introduces the origins of quantum noise. Next, it proposes a common treatment to simplify the view of quantum noise. Finally, it presents a case study to investigate the impact of noise on quantum Fourier transform algorithm.
引用
收藏
页码：1 / 4
页数：4
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