41 citations · 209 across the 31 of their papers we have counts for
33 papers
Quantum-Enhanced Learning Framework for Intelligent and AI-Native 6G Wireless Networks
Muhammad Bilal Akram Dastagir, Rakesh Saini, Omer Tariq +4
The recent convergence of 6G wireless systems and Tiny Machine Learning (TinyML) has driven the need for on-device intelligence in edge networks, where ultra-low latency, stringent…
Superpixel-Based QUBO for Scalable Quantum-Enhanced Medical Image Segmentation
Mohammad Chalhoub, Mahdi Chehimi, Laia Domingo +3
Quadratic unconstrained binary optimization (QUBO) has emerged as a powerful framework for medical computing problems. Binary decision variables naturally represent clinical choice…
QDS-SNN: Energy-efficient Quantum Deeply-Supervised Spiking Neural Network Algorithm for Traffic Sign Recognition
Zhiguo Qu, Keqi Li, Le Sun +4
Traffic sign recognition is crucial for intelligent transportation and autonomous driving, as it can improve driving efficiency and ensure road safety. However, traditional recogni…
Quantum-Inspired Reinforcement Learning for Secure and Sustainable AIoT-Driven Supply Chain Systems
Muhammad Bilal Akram Dastagir, Omer Tariq, Shahid Mumtaz +2
Modern supply chains must balance high-speed logistics with environmental impact and security constraints, prompting a surge of interest in AI-enabled Internet of Things (AIoT) sol…
Towards City-Scale Quantum Timing: Wireless Synchronization via Quantum Hubs
Mohammad Taghi Dabiri, Mazen Hasna, Rula Ammuri +2
This paper presents a novel wireless quantum synchronization framework tailored for city-scale deployment using entangled photon pairs and passive corner cube retroreflector (CCR)…
Dynamic Depth Quantum Approximate Optimization Algorithm for Solving Constrained Shortest Path Problem
Rakesh Saini, Nora Mohamed, Saif Al-Kuwari +1
The Quantum Approximate Optimization Algorithm (QAOA) has emerged as a promising approach for solving NP hard combinatorial optimization problems on noisy intermediate-scale quantu…
Resisting Quantum Key Distribution Attacks Using Quantum Machine Learning
Ali Al-kuwari, Noureldin Mohamed, Saif Al-kuwari +2
The emergence of quantum computing poses significant risks to the security of modern communication networks as it breaks today's public-key cryptographic algorithms. Quantum Key Di…
Quantum Machine Learning for Energy-Efficient 5G-Enabled IoMT Healthcare Systems: Enhancing Data Security and Processing
Muhammad Zeeshan Riaz, Bikash K. Behera, Shahid Mumtaz +2
Energy-efficient healthcare systems are becoming increasingly critical for Industry 5.0 as the Internet of Medical Things (IoMT) expands, particularly with the integration of 5G te…
QSVM-QNN: Quantum Support Vector Machine Based Quantum Neural Network Learning Algorithm for Brain-Computer Interfacing Systems
Bikash K. Behera, Saif Al-Kuwari, Ahmed Farouk
A brain-computer interface (BCI) system enables direct communication between the brain and external devices, offering significant potential for assistive technologies and advanced…
Discrete time crystal for periodic-field sensing with quantum-enhanced precision
Rozhin Yousefjani, Saif Al-Kuwari, Abolfazl Bayat
Sensing periodic-fields using quantum sensors has been an active field of research. In many of these scenarios, the quantum state of the probe is flipped regularly by the applicati…
QFDNN: A Resource-Efficient Variational Quantum Feature Deep Neural Networks for Fraud Detection and Loan Prediction
Subham Das, Ashtakala Meghanath, Bikash K. Behera +3
Social financial technology focuses on trust, sustainability, and social responsibility, which require advanced technologies to address complex financial tasks in the digital era.…
Optimizing Low-Energy Carbon IIoT Systems with Quantum Algorithms: Performance Evaluation and Noise Robustness
Kshitij Dave, Nouhaila Innan, Bikash K. Behera +3
Low-energy carbon Internet of Things (IoT) systems are essential for sustainable development, as they reduce carbon emissions while ensuring efficient device performance. Although…
QDCNN: Quantum Deep Learning for Enhancing Safety and Reliability in Autonomous Transportation Systems
Ashtakala Meghanath, Subham Das, Bikash K. Behera +3
In transportation cyber-physical systems (CPS), ensuring safety and reliability in real-time decision-making is essential for successfully deploying autonomous vehicles and intelli…
SentiQNF: A Novel Approach to Sentiment Analysis Using Quantum Algorithms and Neuro-Fuzzy Systems
Kshitij Dave, Nouhaila Innan, Bikash K. Behera +3
Sentiment analysis is an essential component of natural language processing, used to analyze sentiments, attitudes, and emotional tones in various contexts. It provides valuable in…
QNN-VRCS: A Quantum Neural Network for Vehicle Road Cooperation Systems
Nouhaila Innan, Bikash K. Behera, Saif Al-Kuwari +1
The escalating complexity of urban transportation systems, exacerbated by factors such as traffic congestion, diverse transportation modalities, and shifting commuter preferences,…
QNN-QRL: Quantum Neural Network Integrated with Quantum Reinforcement Learning for Quantum Key Distribution
Bikash K. Behera, Saif Al-Kuwari, Ahmed Farouk
Quantum key distribution (QKD) has emerged as a critical component of secure communication in the quantum era, ensuring information-theoretic security. Despite its potential, there…
QSCL-EWIL: Quantum Stochastic Contrast Learning for Enhanced WiFi-Based Indoor Localization
Muhammad Bilal Akram Dastagir, Omer Tariq, Dongsoo Han +3
WiFi-based indoor localization is essential for asset tracking, healthcare monitoring, and smart buildings. However, existing systems face challenges such as data variability, envi…
Quantum correlations and metrological advantage among Unruh-DeWitt detectors in de Sitter spacetime
Samira Elghaayda, Asad Ali, M. Y. Abd-Rabbou +2
A long-standing debate on Gibbons-Hawking (GH) decoherence centers on its unclear thermal nature. In this work, we investigate the robustness of quantum Fisher information (QFI) an…
Performance of a Superconducting Quantum Battery
Samira Elghaayda, Asad Ali, Saif Al-Kuwari +3
Finding a quantum battery model that demonstrates a quantum advantage while remaining feasible for experimental production is a considerable challenge. Here, a superconducting quan…
Non-Hermitian Discrete Time Crystals
Rozhin Yousefjani, Angelo Carollo, Krzysztof Sacha +2
Discrete time crystals (DTC) exhibit a special non-equilibrium phase of matter in periodically driven many-body systems with spontaneous breaking of time translational symmetry. Th…
Towards Scalable Quantum Key Distribution: A Machine Learning-Based Cascade Protocol Approach
Hasan Abbas Al-Mohammed, Saif Al-Kuwari, Hashir Kuniyil +1
Quantum Key Distribution (QKD) is a pivotal technology in the quest for secure communication, harnessing the power of quantum mechanics to ensure robust data protection. However, s…
Ergotropy and capacity optimization in Heisenberg spin-chain quantum batteries
Asad Ali, Saif Al-Kuwari, M. I. Hussain +5
This study examines the performance of finite spin quantum batteries (QBs) using Heisenberg spin models with Dzyaloshinsky-Moriya (DM) and Kaplan--Shekhtman--Entin-Wohlman--Aharony…
FedPot: A Quality-Aware Collaborative and Incentivized Honeypot-Based Detector for Smart Grid Networks
Abdullatif Albaseer, Nima Abdi, Mohamed Abdallah +2
Honeypot technologies provide an effective defense strategy for the Industrial Internet of Things (IIoT), particularly in enhancing the Advanced Metering Infrastructure's (AMI) sec…
Superdense Coding using Bragg Diffracted Hyperentangled Atoms
Syed M. Arslan, Saif Al Kuwari, Tasawar Abbas
Superdense coding (SDC) is a popular protocol demonstrating the potential of using quantum mechanics to transfer data, where The sender (Alice) can transfer 2 bits of classical inf…