Entanglement Detection: A Scoping Review

Authors

  • Amirul Asyraf Zhahir Faculty of Science and Technology, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia
  • Siti Munirah Mohd Kolej PERMATA Insan, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia
  • Mohd Ilias M Shuhud Faculty of Science and Technology, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia
  • Bahari Idrus Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia
  • Hishamuddin Zainuddin 1133, Jalan S2 A33, Central Park, Seremban 2, 70300 Seremban, Negeri Sembilan, Malaysia
  • Nurhidaya Mohamad Jan Kolej PERMATA Insan, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia
  • Mohamed Ridza Wahiddin Tahmidi Centre, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia

DOI:

https://doi.org/10.37934/araset.42.2.209220

Keywords:

Quantum detection, Quantum entanglement, Quantum measurement

Abstract

Quantum entanglement is a critical physical process in quantum mechanics and quantum information theory. It is a required process in quantum computing, quantum teleportation, and quantum cryptography. Entanglement detection affects the performance of quantum information processing tasks. Entanglement detection has grown in popularity over the years, and various entanglement detection methods are available, though some have application and system scale limitations. This scoping review sought to identify various measurement methods for entanglement detection in both bipartite and multipartite entanglement systems. Secondary resource indexed literatures were selected based on specific keywords from literatures published between 2017 and 2021. The goal of this study is to present a proposed conceptual framework of entanglement detection based on previous work as a guidance and reference founded on one’s specific requirements.

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Author Biographies

Amirul Asyraf Zhahir, Faculty of Science and Technology, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia

asyrafgiant@raudah.usim.edu.my

Siti Munirah Mohd, Kolej PERMATA Insan, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia

smunirahm@usim.edu.my

Mohd Ilias M Shuhud, Faculty of Science and Technology, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia

ilias@usim.edu.my

Bahari Idrus, Center for Artificial Intelligence Technology (CAIT), Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 Bangi, Selangor, Malaysia

bahari@ukm.edu.my

Hishamuddin Zainuddin, 1133, Jalan S2 A33, Central Park, Seremban 2, 70300 Seremban, Negeri Sembilan, Malaysia

hishamuddinz@gmail.com

Nurhidaya Mohamad Jan, Kolej PERMATA Insan, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia

nurhidaya.mj@usim.edu.my

Mohamed Ridza Wahiddin, Tahmidi Centre, Universiti Sains Islam Malaysia, 71800 Nilai, Negeri Sembilan, Malaysia

mridza@usim.edu.my

Published

2024-04-03

Issue

Section

Articles