41 citations · 209 across the 31 of their papers we have counts for
24 papers · 1 filter
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…
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…
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…
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…
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…
Trade-off relations of quantum resource theory in Heisenberg models
Asad Ali, Saif Al-Kuwari, Saeed Haddadi
Studying the relations between entanglement and coherence is essential in many quantum information applications. For this, we consider the concurrence, intrinsic concurrence and fi…
Quantum Characteristics Near Event Horizons
Asad Ali, Saif Al-Kuwari, Mehedad Ghominejad +3
We investigate quantum characteristics around Schwarzschild black hole, exploring various quantum resources and their interplay in curved space-time. Our analysis reveals intriguin…
Alleviating Barren Plateaus in Parameterized Quantum Machine Learning Circuits: Investigating Advanced Parameter Initialization Strategies
Muhammad Kashif, Muhammad Rashid, Saif Al-Kuwari +1
Parameterized quantum circuits (PQCs) have emerged as a foundational element in the development and applications of quantum algorithms. However, when initialized with random parame…
The Unified Effect of Data Encoding, Ansatz Expressibility and Entanglement on the Trainability of HQNNs
Muhammad Kashif, Saif Al-Kuwari
In this paper, we propose a framework to study the combined effect of several factors that contribute to the barren plateau problem in quantum neural networks (QNNs), which is a cr…
ResQNets: A Residual Approach for Mitigating Barren Plateaus in Quantum Neural Networks
Muhammad Kashif, Saif Al-kuwari
The barren plateau problem in quantum neural networks (QNNs) is a significant challenge that hinders the practical success of QNNs. In this paper, we introduce residual quantum neu…
Physical Realization of Measurement Based Quantum Computation
Muhammad Kashif, Saif Al-Kuwari
Harnessing quantum mechanics properties, quantum computers have the potential to outperform classical computers in many applications and are envisioned to affect various aspects of…
NEQRX: Efficient Quantum Image Encryption with Reduced Circuit Complexity
Rakesh Saini, Bikash K. Behera, Saif Al-Kuwari +1
Cryptography plays an important role in ensuring data security and authentication within information processing systems. As the prevalence of digital imagery continues to grow, saf…