Nanotechnology uses the smallest unit of matter to engineering new materials and devices atom by atom, aiming at achieving superior properties and performance through atomic scale architecture. In general, the nanoscale structures, devices, and systems cannot be studied using conventional concepts. In other words, we have to study novel phenomena in nanosystems using quantum and optimization theories. In this paper, we study a novel architecture of our proposed quantum-based nanosensor node for future wireless sensor networks. In addition, we conduct a mathematical analysis on one of the modules in our designed architecture-classical to quantum (C/Q) converter.
Nanotechnology uses the smallest unit of matter to engineering new materials and devices atom by atom, aiming at achieving superior properties and performance through atomic scale architecture. In general, the nanoscale structures, devices, and systems cannot be studied using conventional concepts. In other words, we have to study novel phenomena in nanosystems using quantum and optimization theories. In this paper, we study a novel architecture of our proposed quantum-based nanosensor node for future wireless sensor networks. In addition, we conduct a mathematical analysis on one of the modules in our designed architecture-classical to quantum (C/Q) converter.
Applications of quantum computing are growing at a very fast pace, for example, from quantum computers to quantum algorithms and even to the development of the quantum Internet. However, the use of quantum technology in wireless sensor networks has not been thoroughly investigated just yet. This is in part due to the complexity of using big, costly, and highly energy-consuming machines that are quantum computers to this date, compared to the nodes used in wireless sensor networks which are small, inexpensive, and operate with very low energy consumption requirements. However, we can expect that in the future (possibly in the next decade) quantum computers will be commercial and reduced in size, and hence, they can be used for sensor network applications which are the basis of the Internet of Things. In this review, we study the road from quantum computing to quantum wireless sensor networks and how the analysis and design of these systems have to change to accommodate quantum capabilities in sensors, processors, communication links, and overall performance of these monitoring networks.
Quantum phenomena are typically observable at length and time scales smaller than those of our everyday experience, often involving individual particles or excitations. The past few decades have seen a revolution in the ability to structure matter at the nanoscale, and experiments at the single particle level have become commonplace. This has opened wide new avenues for exploring and harnessing quantum mechanical effects in condensed matter. These quantum phenomena, in turn, have the potential to revolutionize the way we communicate, compute and probe the nanoscale world. Here, we review developments in key areas of quantum research in light of the nanotechnologies that enable them, with a view to what the future holds. Materials and devices with nanoscale features are used for quantum metrology and sensing, as building blocks for quantum computing, and as sources and detectors for quantum communication. They enable explorations of quantum behaviour and unconventional states in nano- and opto-mechanical systems, low-dimensional systems, molecular devices, nano-plasmonics, quantum electrodynamics, scanning tunnelling microscopy, and more. This rapidly expanding intersection of nanotechnology and quantum science/technology is mutually beneficial to both fields, laying claim to some of the most exciting scientific leaps of the last decade, with more on the horizon.
The ability to detect and characterize single molecules in their native environments is paramount for advancing fields ranging from fundamental biology to advanced materials science. Traditional single-molecule detection methods often face limitations in terms of sensitivity, spatial resolution, and the ability to perform measurements in situ, especially in complex biological matrices. This paper explores the transformative potential of quantum-enhanced nanosensors to overcome these limitations, enabling ultrasensitive single-molecule detection directly within living systems or operational devices. We review the fundamental principles of quantum phenomena, such as entanglement, squeezing, and quantum coherence, and discuss how they can be harnessed to push sensing capabilities beyond classical limits. Various architectures of quantum-enhanced nanosensors, including those based on nitrogen-vacancy (NV) centers in diamond, quantum dots, and optomechanical systems, are examined for their unique advantages in detecting minute perturbations caused by single molecules. The paper delves into methodologies for designing, fabricating, and functionalizing these nanosensors for specific targets, emphasizing strategies for achieving high spatial resolution and robust in situ operation. We present a theoretical framework for assessing the enhanced signal-to-noise ratio and reduced detection limits offered by quantum metrology. Potential applications span real-time monitoring of biochemical reactions, early disease diagnosis, and the development of next-generation analytical tools. Finally, the challenges and future directions for realizing widespread practical implementation of quantum-enhanced nanosensors for in situ single-molecule detection are critically discussed, highlighting the interdisciplinary efforts required at the intersection of quantum physics, nanotechnology, and life sciences.
The requirement of efficient security protocols to protect confidential information from ever evolving cyber threat has been highlighted by the fast implementation of wireless sensor network (WSN) in numerous important domains, including healthcare monitoring, environmental surveillance and military operations. Despite their feasibility, traditional cryptographic approaches are utilized behind the computing capability of recent attackers, including the possibility of future quantum computer attacks. In order to revolutionize WSN security, this study proposes utilizing quantum cryptography and other concepts from quantum computing into the existing framework. This research leads to develop a communication protocol that is extremely safe and against the cyber-attacks. This protocol utilizes the quantum key distribution (QKD) to protect data and granting its confidential. In addition to improving security, the new architectures begin with change that makes WSN more capable of dependable and secure operations in environment where data protection is essential. A complete framework for protecting WSNs from new cyber threats in the future while keeping data transmissions and efficient process with reliability is discussed in this study. This proposed method enhances the dependencies in WSN installation across various industries, which is important for applications that need strong security measures. Evaluation results shows that the proposed method outperformed all existing methods in terms of relevant metrics.
Wireless Sensor Networks (WSNs) are promoting the spread of the Internet for devices in all areas of life, which makes it is a promising technology in the future. In the coming days, as attack technologies become more improved, security will have an important role in WSN. Currently, quantum computers pose a significant risk to current encryption technologies that work in tandem with intrusion detection systems because it is difficult to implement quantum properties on sensors due to the resource limitations. In this paper, quantum computing is used to develop a future-proof, robust, lightweight and resource-conscious approach to sensor networks. Great emphasis is placed on the concepts of using the BB84 protocol with the AES algorithm in WSN security. The results of analysis indicated a high level of security between the data by depending on the generation of secure keys, and reached an accuracy rate of about (80-95) % based on using NIST statistical. The efficiency of the work increased to 0.704 after using the Quantum Bit Error Rate equation, eventually increasing the network performance. This results in the reduction of the overall amount of energy, and the time required for performing the key exchange in the encryption and decryption processes decreased.
Abstract There is a rich of electric phenomena ubiquitously existing in novel quantum materials and advanced electronic devices. Microscopic understanding of the underlying physics relies on the sensitive and quantitative measurements of the electric field, electric current, electric potential, and other related physical quantities with a spatial resolution down to nanometers. Combined with a scanning probe microscope (SPM), the emergent quantum sensors of atomic/nanometer size provide promising platforms for imaging various electric parameters with a sensitivity beyond a single electron/charge. In this perspective, we introduce the working principle of such newly developed technologies, which are based on the strong sensitivity of quantum systems to external disturbances. Then we review the recent applications of those quantum sensors in nanoscale electric sensing and imaging, including a discussion of their privileges over conventional SPM techniques. Finally, we propose some promising directions for the future developments and optimizations of quantum sensors in nanoscale electric sensing and imaging.