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

页码：1 / 4

页数：4

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