Quantum Computing for Networks

This project investigates two complementary paths toward quantum-enabled networking: (1) applying quantum and quantum-inspired methods to optimize complex, distributed communication networks, and (2) developing scalable quantum-network architectures and protocols. The goal is to enable efficient, privacy-preserving collaboration across multiple network domains, with solutions that is compatible with today’s classical systems while preparing for emerging quantum technologies.

Team

Dr. Omar Alhussein
Dr. Omar Alhussein
Assistant Professor
omar.alhussein@ku.ac.ae · Google Scholar · ResearchGate · KU Profile
Dr. Essra Ghourab
Dr. Essra Ghourab
Postdoctoral Researcher
Covert and secure wireless networks, and quantum-inspired optimization
MohammadNour Ebdah
MohammadNour Ebdah
PhD Student, BSc from Jordan University of Science and Technology
architecture and optimization of quantum-enabled networks
Mohammad Rasyidi
Mohammad Rasyidi
PhD Student, MSc from Universitas Internasional Semen Indonesia
Quantum machine learning and optimization for next-generation networks

Publications

  1. Superpixel-Based QUBO for Scalable Quantum-Enhanced Medical Image Segmentation
    M. Chalhoub, M. Chehimi, L. Domingo, O. Alhussein, A. Farouk, and S. Al-Kuwari
    CoRR abs/2607.24288, 2026. Accepted to Proc. IEEE QCE
    Download pre-print
  2. Detection Error Probability Analysis over Atmospheric Quantum Channels with Pointing Errors: A Physically Admissible Bounded Transmissivity Framework
    Y. H. Al-Badarneh, O. S. Badarneh, M. K. Alshawaqfeh, M. O. Hasna, T. M. Khattab, S. Muhaidat, O. Alhussein, and K. A. Qaraqe
    IEEE Transactions on Quantum Engineering, 2026.
    Download paper
  3. Hybrid Quantum-Classical Autoencoders for Unsupervised Network Intrusion Detection
    M. Rasyidi, O. Alhussein, S. Muhaidat, and E. Damiani
    CoRR abs/2512.05069.
    Download pre-print · Code available
  4. Hybrid Quantum-Classical Detection for RIS-Assisted SC-FDE via Grover Adaptive Search
    M. Tariq, O. Alhussein, R. Abdelraheem, A. Quran, G. Kaddoum, and S. Muhaidat
    CoRR abs/2511.04173.
    Download pre-print
  5. Hybrid Quantum-Classical Maximum-Likelihood Detection via Grover Adaptive Search for RIS-assisted Broadband Wireless Systems
    M. Tariq, R. Abdelrahim, O. Alhussein, and S. Muhaidat
    in Proc. IEEE Globecom Workshops, 2025, pp. 466–471.
    Download pre-print

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