Optimal Resource Allocation in the Next-Generation Quantum-Classical Computer Networks

  • Abdallah, Mohamed Mahmoud (Lead Principal Investigator)
  • Erbad, Aiman Mahmood M M (Lead Principal Investigator)
  • Al-Maadeed, Maryam (Principal Investigator)
  • Jain, Raj (Principal Investigator)
  • Al-Obaidi, Dr.Sinan (Principal Investigator)
  • Ashraaf, Anjum (Graduate Student)

Project: Applied Research

Project Details

Abstract

The next-generation computer networks will integrate quantum channels to facilitate highly secure transfer of security keys using Quantum Key Distribution (QKD). However, QKD, being a communication protocol, lacks specific networking aspects. Consequently, current QKD networks face scalability challenges due to inefficient networking strategies. This project aims to establish next-generation quantum-classical computer networks tailored to meet the efficiency and high-security needs of sensitive sectors like military operations, healthcare services, and governmental communications. Specifically, our goals include developing and implementing effective congestion control strategies within QKD networks to enhance scalability and efficiency. With that, we aim to optimize the utilization of quantum resources, including entanglements and quantum states, to mitigate wastage and underutilization.

Submitting Institute Name

Hamad Bin Khalifa University (HBKU)
Sponsor's Award NumberARG02-0415-240191
Proposal IDEX-QNRF-ARG-212
StatusActive
Effective start/end date26/11/2525/11/28

Collaborative partners

Primary Theme

  • Artificial Intelligence

Primary Subtheme

  • AI - Smart Cities

Secondary Theme

  • Others

Secondary Subtheme

  • Quantum Computing

Keywords

  • Quantum Computing
  • Quantum Networks
  • Congestion Control

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