Many problems in cellular communications cannot be solved classically. Due to its robustness, quantum computing can enrich the classical with other dimensions, security and cryptic‐natured. However, the awareness about how to fully bridge the classical and quantum communications is not fully realised. In other words, the quantum phenomena are not totally utilised within the classical dimension. This work rather discusses directions and evaluations for future quantum solutions to traditional cloud mobile networks. Particularly, using quantum correlation phenomena to enhance the performance of X2 application protocol (X2‐AP) by reducing the signalling overhead regarding the delay and power consumption that classical cloud encounter. Through modelling the latency of both paradigms using ‘MATLAB’, this work promises a delay reduction when adapting quantum method into the cloud. This study also models the power consumption and energy efficiency of traditional and quantum‐based cloud networks. This work also shows, via modelling the power consumption, that installing a quantum‐based paradigm is not a power costly method; rather, it shows identical power and energy efficiency figures with a possibility of improvement.
Many problems in cellular communications cannot be solved classically. Due to its robustness, quantum computing can enrich the classical with other dimensions, security and cryptic‐natured. However, the awareness about how to fully bridge the classical and quantum communications is not fully realised. In other words, the quantum phenomena are not totally utilised within the classical dimension. This work rather discusses directions and evaluations for future quantum solutions to traditional cloud mobile networks. Particularly, using quantum correlation phenomena to enhance the performance of X2 application protocol (X2‐AP) by reducing the signalling overhead regarding the delay and power consumption that classical cloud encounter. Through modelling the latency of both paradigms using ‘MATLAB’, this work promises a delay reduction when adapting quantum method into the cloud. This study also models the power consumption and energy efficiency of traditional and quantum‐based cloud networks. This work also shows, via modelling the power consumption, that installing a quantum‐based paradigm is not a power costly method; rather, it shows identical power and energy efficiency figures with a possibility of improvement.
Quantum computing can provide a solution for many problems that classical communication networks encounter, but the knowledge gap between these two is not bridged yet. Accordingly, this paper has proposed directions, evaluations, and futuristic quantum solutions to cloud-based cellular communications. This paper shows the effect of using quantum entanglement phenomena upon the classical cloud network, particularly using an entanglement theory to decrease the enlarged signaling cost delay that the traditional cloud network faces. Through modeling the latency of both paradigms, this paper promises a delay reduction when adapting a quantum method into the mobile cloud networks. This paper also models the power consumption (PC) and energy efficiency of the traditional and quantum-based cloud networks. This paper also shows, via modeling the PC, that installing a quantum-based paradigm is not a power costly method; rather, it shows identical power and energy efficiency figures with a possibility of improvement.
There are many problems in cellular communications cannot be resolved traditionally. The quantum communications can add new dimensions, safety, encryption and solution to the traditional networks because of its robust physical strength. However, it is not entirely realised how to adapt the quantum into the traditional communications because it is not entirely utilised. This paper addresses the necessary guidelines and assessments for future quantum solutions to the standard mobile cloud networks. In particular, using entanglement phenomenon to increase the performance of the X2 application (X2-AP) protocol by minimising the overhead signalling, represented by the time and energy consumption the conventional cloud encounters. We intended to offer a delay reduction while adapting the quantum technique into the cloud by modelling the latency of both paradigms. Finally, increasing the number of photons has decreased the delay to about 40% compared to the traditional network. In addition, the energy efficiency in the quantum case has been increased while decreasing the power consumption by about 10%.
Quantum computing communication interfaces are emerging as a fundamental technology for enabling seamless interaction between quantum processors, classical computing systems, cloud infrastructures, and distributed quantum networks. The development of efficient communication interfaces is essential to address challenges such as quantum state transmission, synchronization, error correction, latency, scalability, and interoperability across heterogeneous computing environments. This paper presents a comprehensive study of quantum computing communication interfaces by examining their architecture, communication protocols, hardware components, and software integration mechanisms. The proposed framework incorporates quantum-classical hybrid communication, quantum networking principles, secure quantum key distribution, adaptive resource management, and intelligent error mitigation techniques to improve communication reliability and computational efficiency. Furthermore, the study investigates the role of emerging technologies such as quantum internet, photonic interconnects, edge-cloud integration, and artificial intelligence in enhancing interface performance. Performance evaluation demonstrates that the proposed communication interface architecture achieves reduced communication latency, improved transmission fidelity, enhanced scalability, optimized resource utilization, and stronger security compared with conventional quantum communication approaches. The findings indicate that intelligent quantum communication interfaces can significantly accelerate the practical deployment of distributed quantum computing systems and future large-scale quantum applications.
Cloud computing has transformed modern digital infrastructure by enabling on-demand access to scalable computational resources. However, the increasing complexity of dynamic workloads and the need for efficient resource allocation present persistent challenges in maintaining performance, cost efficiency, and energy sustainability. This paper introduces a Quantum-Driven Optimization (QDO) framework, a hybrid quantum-classical approach designed to enhance cloud resource allocation by integrating quantum computing techniques with classical optimization methods. The proposed framework leverages Quantum Annealing (QA) and the Variational Quantum Eigensolver (VQE) to optimize resource distribution, minimizing energy consumption and operational costs while maximizing throughput and utilization efficiency. Experimental evaluations demonstrate that the QDO framework achieves a 27% improvement in resource utilization, a 34% reduction in operational costs, and a 21% enhancement in task completion time compared to traditional heuristic-based approaches. Additionally, the hybrid model reduces Service Level Agreement (SLA) violations by 18%, ensuring robust Quality of Service (QoS) for cloud users. The framework employs classical algorithms for preprocessing and decision-making while delegating complex optimization tasks to quantum solvers, ensuring scalability across diverse cloud environments. This study highlights the transformative potential of hybrid quantum-classical computing in addressing cloud resource allocation challenges. The results indicate significant improvements in energy efficiency, cost-effectiveness, and system responsiveness, making the QDO framework a viable solution for next-generation cloud infrastructures. Future research directions include extending the framework to multi-cloud architectures and investigating advanced quantum algorithms for further optimization gains.
The onset of quantum computing has incited a major advancement in information processing, and thus promises enhanced computational power and efficiency. The quantum computing is based on qubits and the operation of quantum gates to perform complex calculations at faster speeds which are unachievable by classical computers. It then transitions to the realm of quantum networking by emphasizing on the unique features of quantum entanglement and superposition that distinguish them from classical networks. The article investigates the transformative impact of integrating quantum computing into quantum-based network paradigms including quantum key distribution (QKD), quantum teleportation, cloud-based quantum computing and entanglement-enabled communication to enhance the efficiency of data transmission. This integration will pave the way to redefine the domain of information processing, offering high computational capabilities and hence facilitating the secure and efficient communication. We will also discuss the roadmap to quantum internet, envisaging a network, which facilitates instantaneous and secure information exchange over vast distances. The objective is to provide insights into the opportunities, challenges and future directions associated with integrating quantum computing into network paradigms, paving the way for advancements in secure communication, distributed computing and the development of future-ready quantum networks.
The growing demand of better functionality in the distributed computing systems has discovered the limitations of the conventional cloud systems in operating under the complicated model, particularly with the computation, security risk, and processing time in a low latency. Even though the distributed systems can work with a much larger number of clients, as they have more computing power, in practice they are limited by the speed of traditional processors and classical encryption model protection. The provided paper describes a quantum-enabled model of cloud computing to facilitate the deployment of quantum processors within the framework of the infrastructure of distributed systems and also facilitates hybrid classical-quantum computing on the bundled runtime level. The proposed model employs quantum algorithms to optimize the optimization and speed up the performances of solving problems, improve security by using quantum-proven cryptographic, and distribute resources to the distributed nodes in the cloud computing system in an intelligent manner. Computational structure implies that it has a layered architecture that comprises of quantum processing units, cloud-level software coordination, and quantum communication protocols. Qiskit and cloud-native applications are used to test the model by simulation. Results indicate that the run time on complex optimization problems may be reduced by a maximum of 45 per cent, and the ability to provide more data security against quantum threat. Results provide a clue on the possible transformation quantum can impose on the next generation cloud-based distributed systems and transform continuous work and research to enable sustainable, secure and efficient infrastructures to maximize future computing.