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

Volya, Daniel, Mishra, Prabhat

2020 IEEE 38th International Conference on Computer Design (ICCD), pages 1–4, October 2020, doi: 10.1109/ICCD50377.2020.00013

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Abstract

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.

Bibtex


@inproceedings{volyaSpecialSessionImpact2020,
  title = {Special Session: Impact of Noise on Quantum Algorithms in Noisy Intermediate-Scale Quantum Systems},
  shorttitle = {Special Session},
  booktitle = {2020 IEEE 38th International Conference on Computer Design (ICCD)},
  author = {Volya, Daniel and Mishra, Prabhat},
  year = {2020},
  pages = {1--4},
  issn = {2576-6996},
  doi = {10.1109/ICCD50377.2020.00013},
  abstract = {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.},
  keywords = {Conferences,decoherence,Error correction,Fourier transforms,Integrated circuit modeling,Mathematical model,noise,Noise measurement,Quantum computing},
}