Quantum Computing-Driven Mobile E-Learning Systems for Ultra-Secure and High-Speed Content Delivery in Dynamic Educational Environments
Manzura ErnazarovaProfessor, Head, Department of Primary Education, Navoi State University, Navoi, Uzbekistan. ernazarovamanzura525@gmail.com0009-0009-8073-009X
Pulatova KuvonchoyUrgench State Pedagogical Institute, Uzbekistan. quvonchoy_polatova@urspi.uz0009-0002-5988-9142
Rakhimjon UbaydullayevFergana State University, Fergana, Uzbekistan; University of Tashkent for Applied Sciences, Tashkent, Uzbekistan. ubaydullayevrahimjon259@gmail.com0009-0009-7542-9542
Mustafo TursunovLecturer, Termez University of Economics and Service, Termez, Uzbekistan. mustafo_tursunov@tues.uz0009-0007-9658-7182
Fazliddin KhazratovAssociate Professor, Department of Applied Mathematics and Programming Technologies Bukhara State University, Bukhara, Uzbekistan. hazratovf@gmail.com0000-0003-2996-6274
Nilufar SulaymanovaProfessor, Samarkand State Institute of Foreign Languages, Samarkand, Uzbekistan. nilufarculeymanova@gmail.com0009-0000-3417-9174
Anvar KhujamkulovAssociate Professor, Kimyo International University in Tashkent, Samarkand Branch, Uzbekistan. xojamqulovanvar@gmail.com0009-0005-9395-101X
Keywords: Quantum Computing, Mobile E-Learning Systems, Quantum-Inspired Security, Cloud-Edge Computing, Wireless Communication Networks, Secure Content Delivery, Adaptive Resource Optimization.
Abstract
Mobile e-learning platforms' tremendous growth has changed modern education systems by providing instant and flexible access to e-learning content. However, increased reliance on wireless communications and cloud-based infrastructure in mobile e-learning platforms is creating many issues in terms of data security, latency, scalability, and content delivery. Traditional techniques in security and communication are not always effective in dealing with the changing requirements of mobile e-learning systems, where huge amounts of data are constantly being transferred between various devices. This paper introduces the network architecture of a Quantum Computing-Driven Mobile E-Learning System (QCMELS) designed to utilize quantum cryptographic protocols for ultra-secure, high-speed content delivery. To validate its architectural feasibility prior to the widespread availability of physical quantum hardware, the framework's quantum mechanics are modeled via quantum circuit simulation and quantum-inspired optimization algorithms. A multi-layer system architecture design has been made to accommodate secure authentication anddynamic quantum session key generation, adaptive bandwidth, and low latency for Wi-Fi, 5G, and Internet-of-Things-based mobile e-learning platforms. Moreover, the model employs intelligent routing as well as edge caching mechanisms to enhance efficient communication in terms of mitigating congestion. An experimental analysis showed that the QCMELS framework performed better than any other mobile learning framework across several performance measures. The QCMELS model delivered 97.8 Mbps throughput, 98.6% PDR, and 98.1% security accuracy and brought about a reduction in average latency to 61 ms. On top of this, there was efficiency in resource usage, which stood at 92.4%. This shows that the optimization framework proposed is indeed effective. The findings obtained from the ablation study provided additional evidence on how the quantum security and edge computing modules contributed towards improving performance. The findings suggest that the proposed framework is scalable, reliable, and secure. It is an ideal framework for future mobile e-learning systems. The research helps to advance intelligent educational systems.