  The Internet of Things (IoT) is expanding rapidly, which has created a need
for sophisticated computational frameworks that can handle the data and
security requirements inherent in modern IoT applications. However, traditional
cloud computing frameworks have struggled with latency, scalability, and
security vulnerabilities. Quantum-Edge Cloud Computing (QECC) is a new paradigm
that effectively addresses these challenges by combining the computational
power of quantum computing, the low-latency benefits of edge computing, and the
scalable resources of cloud computing. This study has been conducted based on a
published literature review, performance improvements, and metrics data from
Bangladesh on smart city infrastructure, healthcare monitoring, and the
industrial IoT sector. We have discussed the integration of quantum
cryptography to enhance data integrity, the role of edge computing in reducing
response times, and how cloud computing's resource abundance can support large
IoT networks. We examine case studies, such as the use of quantum sensors in
self-driving vehicles, to illustrate the real-world impact of QECC.
Furthermore, the paper identifies future research directions, including
developing quantum-resistant encryption and optimizing quantum algorithms for
edge computing. The convergence of these technologies in QECC promises to
overcome the existing limitations of IoT frameworks and set a new standard for
the future of IoT applications.
