Due to recent advancements in quantum drones, the Internet of Quantum Drones (IoQDs), and Drone-to-Satellite connectivity, several advantages have been anticipated for real-time applications. This work examines quantum computing issues, including quantum data processing, techniques, circuits, and algorithms important for quantum drones or their networks. Here, we discussed the current research trends on quantum computing, quantum-safe computing, or post-quantum cryptography important to quantum networks, followed by the numerous advantages, limitations, future advancements, and research issues connected with quantum technologies, drones, and their network. This work has also prepared a taxonomy of quantum-related areas depending upon the logic of their learning, followed by a review of each of these areas. We review the most recent work over quantum algorithms used in various-quantum-related areas and networks, the role of quantum satellites for drone-based networks and communications, how quantum artificial intelligence and quantum machine learning are important for quantum drones, networks and futuristic applications, quantum attacks, quantum genetic algorithms, and the importance of post-quantum and quantum-safe cryptography. The challenges and research directions in these domains are explored as well. Lastly, this work presents an overview of the current state of knowledge in various promising technologies that are recently found to be important for quantum drones and networks.
Due to recent advancements in quantum drones, the Internet of Quantum Drones (IoQDs), and Drone-to-Satellite connectivity, several advantages have been anticipated for real-time applications. This work examines quantum computing issues, including quantum data processing, techniques, circuits, and algorithms important for quantum drones or their networks. Here, we discussed the current research trends on quantum computing, quantum-safe computing, or post-quantum cryptography important to quantum networks, followed by the numerous advantages, limitations, future advancements, and research issues connected with quantum technologies, drones, and their network. This work has also prepared a taxonomy of quantum-related areas depending upon the logic of their learning, followed by a review of each of these areas. We review the most recent work over quantum algorithms used in various-quantum-related areas and networks, the role of quantum satellites for drone-based networks and communications, how quantum artificial intelligence and quantum machine learning are important for quantum drones, networks and futuristic applications, quantum attacks, quantum genetic algorithms, and the importance of post-quantum and quantum-safe cryptography. The challenges and research directions in these domains are explored as well. Lastly, this work presents an overview of the current state of knowledge in various promising technologies that are recently found to be important for quantum drones and networks.
The disruptive technology of unmanned aerial vehicles (UAVs), or drones, is a trend with increasing applications and practical relevance in the current and future society. Despite the common interest in drones for commercial deliveries, the use of this disruptive technology can be examined in the contexts of other world strategic demands such as climate change issues and traffic management. As of very recently, some drone-related futuristic disruptive technologies, including quantum drones (QD), the Internet of Quantum Drones (IoQDs), and a constellation of quantum satellites (CQS), are expected to be a breakthrough technology in strategic areas of society. However, prior research has not adequately examined and explored the potential applications of these drone-related futuristic disruptive technologies for social concern. Therefore, this study investigates how QD, IoQDs, and CQS can be applied in new contexts in real-time applications in strategic areas of societal interest, especially during the quantum age. Overall, our results unveil new potential and advanced applications to drone-related disruptive technologies in recognized and new contexts. Two relevant implications are highlighted. First, this research inaugurates new contexts regarding the use of drone-related technologies enabled by the Internet in themes of economic and social concerns. Second, from a futuristic point of view, the study examines the main challenges, risks, and advantages of the practical use of these technologies. We conclude this research with a summary of the main gaps and scientific challenges to the field and propose opportunities for future research.
Quantum communication is the most secure technique of transmitting data available today. Fiber communication lines and satellite-to-ground links have served as the basis for the most successful quantum networks that have been developed so far. Using a UAV, satellite or both for free-space quantum communication reduces the need for permanent ground connections and takes advantage of the lower loss limit in space, which makes it more efficient. This work surveys the recent development in Quantum Satellites and Quantum UAVs-based networks. Here, the importance of the latest technologies, including quantum artificial intelligence, blockchain quantum machine learning, quantum satellites and quantum UAVs, are explored from network perspectives. Further, this work discussed the role of satellite-based images and artificial intelligence.
This survey report presents an overview of the field of quantum computing, focusing on the application of quantum technologies in machine learning, deep learning, image processing, and other related areas. A comprehensive analysis of research papers published between 2005 and 2022 is conducted, covering the latest advancements in quantum-based techniques. The report provides insights into various types of quantum technologies, including quantum machine learning, deep learning, computing, learning, and image processing. The survey encompasses a wide range of topics, such as quantum algorithms, quantum data encoding, quantum feature extraction, quantum neural networks, quantum image recognition, quantum optimization, and quantum simulations. It also identifies the emerging trends, challenges, and future research directions in this rapidly evolving field. The findings of this survey report are expected to provide valuable insights for researchers, practitioners, and decision-makers interested in the field of quantum and its applications in machine learning, deep learning, image processing, and related areas. Comprehensive analysis of the research papers and the identification of the current trends and challenges in this field can serve as a valuable reference for future research and development in the quantum computing domain.
Quantum and Internet of Things (IoT) technologies are driving transformative advancements across various industries, and their integration into drone communications presents promising opportunities for enhancing drone capabilities. This abstract explores the potential of leveraging quantum communication principles in IoT-based drone systems to address key challenges, such as security, data processing, and long range connectivity. The conventional communication methods employed in drones often suffer from vulnerabilities, hindering the secure transmission of sensitive data. Quantum communication, with its inherent security features based on quantum key distribution and entanglement, offers a new paradigm for ensuring data integrity and confidentiality during drone operations. Furthermore, the exponential growth of IoT devices in drones generates massive amounts of data that require efficient processing and analysis. Quantum computing, with its immense computational power, has the potential to accelerate data processing in drone-based IoT applications, enabling real-time decision-making and resource optimization. Moreover, quantum-enhanced long-range communication can significantly extend the reach of drone networks, enabling seamless connectivity even in remote or challenging environments. Leveraging quantum entanglement for long-distance communication may enable efficient data exchange between drones and ground stations, leading to enhanced situational awareness and collaboration among drone fleets. Despite the promising prospects, several technical challenges need to be addressed in realizing quantum enabled IoT communications in drones. These include integrating quantum communication modules into drone platforms, developing robust quantum algorithms for IoT data processing, and addressing issues related to quantum channel noise and coherence
With the rapid advancement of drone technology, the demand for high-quality and real-time video streaming from drones has significantly increased. However, existing classical computing techniques face numerous challenges in meeting the requirements of efficient video encoding, transmission, and decoding. Quantum computing has emerged as a promising approach to address these limitations by leveraging quantum algorithms and principles to enhance various aspects of video streaming systems. This paper presents a taxonomy for the use of quantum computing in drone video streaming technology. The taxonomy is designed to categorize and classify the diverse applications of quantum computing in the different stages of drone video streaming, including video compression, encryption, transmission, and decoding. The taxonomy framework encompasses both theoretical and practical aspects, considering the current state of quantum computing technologies and their potential impact on drone video streaming. The taxonomy is structured into several key dimensions, including quantum algorithms, quantum- enhanced data compression techniques, quantum encryption methods, and quantum-assisted transmission and decoding strategies. Each dimension is further divided into subcategories that explore specific approaches and methodologies relevant to quantum computing in drone video streaming. Furthermore, the paper highlights the benefits and challenges associated with the adoption of quantum computing in this domain. It discusses how quantum computing can improve video compression efficiency, enhance data security through quantum encryption algorithms, enable faster and more reliable transmission using quantum-assisted techniques, and facilitate real-time video decoding with the aid of quantum algorithms. Through this taxonomy, researchers and practitioners in the field of drone video streaming can gain a comprehensive understanding of the potential applications and implications of quantum computing. It serves as a valuable reference for exploring innovative solutions and design considerations to harness the power of quantum computing in improving the performance and capabilities of drone video streaming systems.
Quantum computing has emerged as a transformative computing paradigm capable of solving problems that remain computationally infeasible for classical systems; however, its rapid advancement also introduces significant security, privacy, and reliability concerns. In this context, this survey presents a comprehensive review of security challenges and mitigation strategies associated with quantum computing, focusing on security issues in quantum computers, security threats caused by quantum computers, and security mechanisms developed for quantum systems. The paper examines vulnerabilities in quantum hardware and software, the impact of quantum computing on existing cryptographic infrastructures and cybersecurity mechanisms, and the development of quantum-resilient solutions such as post-quantum cryptography, quantum-safe communication protocols, quantum intrusion detection systems, and quantum-aware software engineering techniques. In addition, the survey discusses emerging applications of quantum technologies in cybersecurity domains, including malware detection, network intrusion detection, Internet of Things (IoT) security, and secure communication systems. Furthermore, the paper analyzes existing quantum error mitigation and fault-tolerance approaches designed to improve the robustness and trustworthiness of quantum computation under realistic noisy conditions. By consolidating recent advances, open research challenges, and future directions, this survey provides a structured overview of the evolving intersection between quantum computing and cybersecurity, while serving as a reference for researchers and practitioners working toward secure, resilient, and quantum-ready computing infrastructures.