In the last decade quantum information theory and technology evolve and show their great potential.There are a set of problems for which it's more efficient and even not possible with classical communication to solve than with quantum equivalent.The best known example is Quantum Key Distribution (QKD), though there are quantum non-locality (entanglement), quantum teleportation, communication complexity and many more.The quantum information technologies permit by using quantum representation of data, to collect much bigger, more varied and precise information, as well as quantum data bank creation, which can be effectively treated by usage of relevant quantum algorithms.For creation of quantum databases, two methods will be dealt with: One is based on quantum numbers usage for processing various parametrical values (attributes of data bank); next, the database will be presented as its quantum model.On the basis of quantum information technology approach the new methods of possible improvement of nano micro sensory systems effectiveness is discussing in the recent paper.Multiparametral and multifunctional nature of sensors and their networks was taking into account.Nano micro sensor systems integrate and interface multiple core technologies and related devices to implement a variety of functions.They can be implemented through scalable homogeneous, or heterogeneous hardware integration technologies, in order to advance the miniaturisation, functionality and reliability of the sensor, processor, actuator and communication functions.Power autonomy (consumption and supply) is a common issue.In the medium term, there is growing industrial interest to integrate nanosensors in smart (intelligent) microsystems, mainly due to an increase in sensitivity, device simplification and associated cost reduction.
In the last decade quantum information theory and technology evolve and show their great potential.There are a set of problems for which it's more efficient and even not possible with classical communication to solve than with quantum equivalent.The best known example is Quantum Key Distribution (QKD), though there are quantum non-locality (entanglement), quantum teleportation, communication complexity and many more.The quantum information technologies permit by using quantum representation of data, to collect much bigger, more varied and precise information, as well as quantum data bank creation, which can be effectively treated by usage of relevant quantum algorithms.For creation of quantum databases, two methods will be dealt with: One is based on quantum numbers usage for processing various parametrical values (attributes of data bank); next, the database will be presented as its quantum model.On the basis of quantum information technology approach the new methods of possible improvement of nano micro sensory systems effectiveness is discussing in the recent paper.Multiparametral and multifunctional nature of sensors and their networks was taking into account.Nano micro sensor systems integrate and interface multiple core technologies and related devices to implement a variety of functions.They can be implemented through scalable homogeneous, or heterogeneous hardware integration technologies, in order to advance the miniaturisation, functionality and reliability of the sensor, processor, actuator and communication functions.Power autonomy (consumption and supply) is a common issue.In the medium term, there is growing industrial interest to integrate nanosensors in smart (intelligent) microsystems, mainly due to an increase in sensitivity, device simplification and associated cost reduction.
In the last decade quantum information theory and technology evolve and show their great potential.There are a set of problems for which it's more efficient and even not possible with classical communication to solve than with quantum equivalent.The best known example is Quantum Key Distribution (QKD), though there are quantum nonlocality (entanglement), quantum teleportation, communication complexity and many more.The quantum information technologies permit by using quantum representation of data, to collect much bigger, more varied and precise information, as well as quantum data bank creation, which can be effectively treated by usage of relevant quantum algorithms.For creation of quantum databases, two methods will be deal with: One is based on quantum numbers usage for processing various parametrical values; the second where the database will be presented as its quantum model.On the basis of quantum information technology approach the new methods of possible improvement of nanoquantum sensory systems effectiveness is discussing in the recent paper.Multiparametral and multifunctional nature of sensors and their networks was taking into account.Nano micro sensor systems integrate and interface can be implemented through scalable homogeneous, or heterogeneous hardware integration technologies in order to advance the miniaturisation, functionality and reliability of the sensor, processor, actuator and communication functions.Power autonomy (consumption and supply) is a common issue.In the medium term, there is growing industrial interest to integrate nanosensors in smart (intelligent) microsystems, mainly due to an increase in sensitivity, device simplification and associated cost reduction.
In the last decade quantum information theory and technology evolve and show their great potential. There are a set of problems for which it's more efficient and even not possible with classical communication to solve than with quantum equivalent. The best known example is Quantum Key Distribution, though there are quantum non-locality (entanglement), quantum teleportation, communication complexity and many more. Quantum communication relies on some phenomenon like entanglement which gives plenty of opportunities, but at the same time it's very tricky. Present knowledge lets us define entanglement as a property of quantum system when two or more objects are linked together (quantum states).
The development of quantum mechanics and quantum physics in general is one of the greatest intellectual achievements of the 20th century. Initially, quantum physicists focused on mathematically describing and understanding the laws of a micro-world, comprised of atoms, molecules and photons. Nuclei and sub-atomic particles were discovered, particle physics evolved, and complex quantum systems in chemistry and solid-state physics are now described in terms of quantum physics. Within a century, quantum physics became the framework, which allows us to describe and predict, albeit with probabilities, the behavior of the microscopic world as we know it. The powerful quantum framework led to revolutionary technical advances for a century, such as semiconductor technology and the entire electronics industry based on it, enabling computers and the information age. The development of lasers found applications in many areas of our current technologies; we use them for printers, storing and retrieving information using CDs, industrial welding, medical surgery, and for range finding and communication purposes. Medical imaging using MRI is now a routine instrument, as are precision measurements using tunneling and atomic force microscopes. Superconducting technologies are used for high magnetic fields and many more current technologies are based on and enabled by the laws of quantum physics. While the framework of quantum physics has thus proven to be extremely successful and powerful, throughout the last century there were many conceptual, and to some extent philosophical, discussions on our understanding of quantum physics. As early as the 1930s, Einstein and Schrödinger realized that quantum physics allows for some peculiar states, which Schrödinger called “entangled”, which have a non-local character and thus do find an easy interpretation in our classical world. It took a few more decades until John Bell conceived a way to quantify such states, which thus became amenable to measurements. Only in the eighties and nineties of the last century did the generation of entangled states, their characterization and their subsequent application become feasible and accessible in laboratories. Early on, Bell states were proposed for applications in quantum communication, employing protocols based on teleportation. Soon, entanglement was recognized to be useful also for sensing, for precision measurements and eventually for quantum information processing. Starting with the early concept of a trapped-ion quantum computer introduced by Ignacio Cirac and Peter Zoller in 1995, many other platforms were proposed for quantum information processing, based on superconducting quantum bits, photonic processes, engineered quantum dots and many more. The first decade of the 21st century saw an explosive development of quantum information physics, which is by now a mature field and increasingly focuses on applications. Worldwide efforts are ongoing to realize quantum networks for secure communication and to implement quantum computers. Enhanced sensing has been demonstrated using advanced quantum states, and quantum simulators have been developed, already tackling problems that are hard to compute with classical computers. While architectures for full-fledged quantum computers are already available, the realization of such computers still requires the routine implementation of error correction, which is not yet available, for full scalability. Currently, noisy intermediate-scale quantum (NISQ) processors are already used for computations and are even accessible via cloud services. Since about 2000, quantum technologies have been developed for many platforms with the aim to surpass the capablities of their classical counterparts. Many such devices now make use of entangled states, which are seen as the new resource for advanced quantum technologies. For this, describing, understanding and generally mastering the generation and manipulation of entanglement is a key element. Moreover, both hardware and software technologies have to be improved in order to better control quantum devices. Mastering quantum phenomena for communication, metrology, simulation and computation purposes is currently one of the hottest topics in science since the wide applicability of quantum technologies will revolutionize these fields. The development of advanced quantum technologies is thus seen worldwide as a strategic area for generating technical knowledge and industrial evolution. This special issue intends to showcase the breadth and impact of the ongoing research in advancing quantum technologies. We have invited a selection of renowned scientists to present their work, and we are confident that this issue will find a broad readership and attract much interest within the scientific community.
The rapid expansion of the Internet of Things (IoT) has transformed the way physical devices communicate, process information, and provide intelligent services.With billions of interconnected devices generating enormous volumes of heterogeneous data, conventional computing architectures increasingly face limitations in computational efficiency, security, optimisation, and scalability.Quantum computing has emerged as a disruptive paradigm capable of solving computationally intensive problems exponentially faster than classical computers for selected problem classes.Integrating quantum computing with IoT offers unprecedented opportunities for intelligent decision-making, real-time optimisation, secure communication, and enhanced machine learning.Quantum-enhanced IoT (QIoT) combines quantum algorithms, quantum machine learning, quantum communication, and post-quantum cryptography to create highly efficient and secure smart systems.Applications span healthcare, industrial automation, smart cities,
In order to provide novel techniques for processing, storing, and transmitting information, the multidisciplinary field of quantum information science (QIS) integrates ideas from quantum physics [ 4 ] with information science. However, due to a number of events, including Peter Shor’s invention of quantum algorithms and the rise in interest in quantum computing, the history of QIS started to expand quickly in the early to middle 1990s. Peter Shor, a physicist and mathematician, developed the first quantum algorithm that could factor big numbers exponentially more rapidly than any classical algorithm in 1994. This finding triggered strong interest in quantum computing’s potential to tackle issues that are currently unsolvable for classical computers. Since then, QIS has advanced due to the development of novel quantum algorithms and enhancements in the hardware used for quantum computing. Understanding complex quantum phenomena like entanglement and superposition and developing novel strategies for utilizing them for information processing and communication are the core goals of QIS. Quantum bits (qubits) can exist in superpositions of 0 and 1 simultaneously, which enables far more efficient computation than classical bits, which can only be in one state or the other at a given time. Superposition is a key concept in quantum computing. In addition to superposition, entanglement, coherence, and quantum algorithms are other important QIS concepts. Entanglement is a key feature of quantum mechanics and has been observed experimentally in a wide range of physical systems, including photons, atoms, and superconducting qubits. Two particles can get entangled with one another through a phenomenon called entanglement in which their quantum states exhibit a high correlation. This indicates that even if two particles are separated by a considerable distance, modifying the state of one can change the state of the other. No matter how far away two separate particles are from one another when they are entangled, measuring the state of one particle immediately gives the state of another particle. It plays a central role in many quantum technologies, including quantum computing for solving complex problems that take classical computers a long time to solve, quantum cryptography for secure communications, quantum sensing for quantum properties of particles to enable more precise measurements, and quantum networking to improve communication and processing speed over both short and long distances. Quantum metrology methods use the principles of quantum mechanics to improve the accuracy of measurements in fields like gravity sensors, timekeeping, and frequency standards. Some of the benefits of QIS are enhanced computing power, improved communication, advanced cryptography, more precise scientific measurements, and better logistics optimization.
Quantum computing is a new approach to data processing based on the quantum mechanics principles. Its unique capabilities, such as superposition and entanglement, open new horizons for the development of intelligent distributed systems, including the Internet of Things (IoT). This article discusses the basic principles of quantum computers, the current state of technology, and their impact on the future of the IoT. Quantum algorithms can significantly improve the efficiency of data processing, optimization of network resources, and cybersecurity in the IoT environment. In addition, quantum cryptography provides a higher level of protection for information transmitted between IoT devices. The development of quantum computing can change existing paradigms in the IoT field, contributing to the creation of more scalable, secure, and intelligent systems. This opens new prospects for the implementation of quantum solutions in areas such as smart cities, healthcare, industry, and autonomous transport.