Theoretical and Natural Science

- The Open Access Proceedings Series for Conferences

Theoretical and Natural Science

Vol. 12, 17 November 2023

Open Access | Article

Analysis of Majorana-based quantum computation

Yutong Bi * 1
1 The Southern University of Science and Technology

* Author to whom correspondence should be addressed.

Advances in Humanities Research, Vol. 12, 88-93
Published 17 November 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Yutong Bi. Analysis of Majorana-based quantum computation. TNS (2023) Vol. 12: 88-93. DOI: 10.54254/2753-8818/12/20230439.


In recent years, the realization of quantum computation is a compelling research direction. To realize an error-tolerate quantum computer, topological quantum computation is considered as the most promising direction. Plenty of scholars have proved that non-abelian particles may play an important role on it. As a matter of fact, among particles obey non-abelian statistics, Majorana fermions is a typical example. On this basis, this study aims at introducing the development of Majorana-based quantum computation. To be specific, it will contain the conceptual framework of topological computation and introduce some recent research about Majorana-based quantum computation including the principles, configurations as well as the state-of-art analysis results. In addition, the current limitations for these studies will be demonstrated accordingly. Moreover, based on the summary the development of this field in recent years, this research will provide reference direction for future researchers. Overall, these results shed light on guiding further exploration of quantum computers.


Majorana fermions, topological quantum computation, non-abelian statistics


1. Moore G E 1975 Electron devices meeting vol 21 pp 11-13.

2. Marius N and Selim G A 2007 Int. J. Parallel Emerg. Distrib. Syst. vol 22(2) pp 123–135.

3. Weinfurter H 1994 Europhysics Letters vol 25(8) p 559.

4. Goldin D and Wegner P 2005 In Conference on Computability in Europe pp 152-168.

5. Arute F, Arya K, Babbush R, et al. 2019 Nature vol 574(7779) pp 505-510.

6. DiVincenzo D P 2000 Fortschritte der Physik: Progress of Physics vol 48(9-11) pp 771-783.

7. Bruzewicz C D, Chiaverini J, McConnell R, and Sage J M 2019 Applied Physics Reviews vol 6(2) p 021314.

8. Krantz P, Kjaergaard M, Yan F, Orlando T P, Gustavsson S and Oliver W D 2019 Applied Physics Reviews vol 6(2) p 021318.

9. Beenakker C W J 2013 Annu. Rev. Condens. Matter Phys vol 4(1) pp 113-136.

10. Mourik V, Zuo K, Frolov S M, Plissard S R, Bakkers E P A M and Kouwenhoven L P 2012 Science vol 336(6084) pp 1003–1007.

11. Oreg Y, Refael G and Von Oppen F 2010 Physical Review Letters vol 105(17) p 177002.

12. Kitae A Y 2001 Physics-uspekhi vol 44(10S) p 131.

13. Kopp J, Schwetz T and Zupan J 2010 Journal of Cosmology and Astroparticle Physics vol 2010(02) p 014.

14. Qing L 2017 Science vol 357 pp 294-299.

15. Sumanta T T D 2020 Science vol 367 pp 23-24.

16. Nayak C, Simon S H, Stern A, Freedman M and Sarma S D 2008 Reviews of Modern Physics, vol 80(3) p 1083.

17. Irfan A A M, Mayer K, Ortiz G and Knill E 2020 Physical Review A vol 101(3) p 032106.

18. Vijay S and Fu L 2016 Physica Scripta vol T168 p 014002.

19. Litinski D and von Oppen F 2018 Physical Review B vol 97 p 20

20. Nadj-Perge S, Drozdov I K, Li J, et al. 2014 Science vol 346(6209) pp 602-607.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Authors who publish this series agree to the following terms:

1. Authors retain copyright and grant the series right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this series.

2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the series's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this series.

3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See Open Access Instruction).

Volume Title
Proceedings of the 2023 International Conference on Mathematical Physics and Computational Simulation
ISBN (Print)
ISBN (Online)
Published Date
17 November 2023
Theoretical and Natural Science
ISSN (Print)
ISSN (Online)
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated