Quantum Computing Research in the Arab World
Quantum computing (QC) offers the potential to address computational challenges that are currently beyond the capabilities of classical systems. This article highlights contributions from the Arab world in advancing QC research, focusing on two key domains: quantum machine learning (QML) and QC for location tracking and spatial systems. In QML, researchers address foundational challenges such as barren plateaus and privacy concerns while exploring applications for healthcare, finance, and materials science. In location tracking and spatial systems, quantum algorithms demonstrate improved accuracy and efficiency, with practical implementations on near-term quantum hardware. These efforts highlight the ongoing advancements in the region that shape QC research, contributing to global progress toward practical applications.
Authors
- Muhammad Shafique (ORCID: https://orcid.org/0000-0002-2607-8135)
- Moustafa Youssef (ORCID: https://orcid.org/0000-0002-2063-4364)
- Nouhaila Innan (ORCID: https://orcid.org/0000-0002-1014-3457)
- М. Беннаи (ORCID: https://orcid.org/0000-0002-7364-5171)
Institutions
- New York University Abu Dhabi (AE)
- American University in Cairo (EG)
- University of Hassan II Casablanca (MA)
Publication Details
- Journal
- Communications of the ACM
- Published
- 2025-09-12
- DOI
- https://doi.org/10.1145/3737448
- Citations
- 1
- Primary Topic
- Quantum Computing Algorithms and Architecture
- Type
- article
- Field-Weighted Citation Impact
- 2.48