Quantum entanglement that does not exist in classic world suggests disruptive quantum i$m$age/sig$n$al processing and wireless sensing techniques beyond the frontier of classic image/signal processing and sensing. By showing the fundamental difference between classic and quantum techniques, this paper comprehensively explains the principles and mechanisms of quantum wireless ghost imaging, quantum radar, and secure quantum remote sensing, with suggestions toward future technological opportunities in communication and signal processing.
Quantum entanglement that does not exist in classic world suggests disruptive quantum image/signal processing and wireless sensing techniques beyond the frontier of classic image/signal processing and sensing. By showing the fundamental difference between classic and quantum techniques, this paper comprehensively explains the principles and mechanisms of quantum wireless ghost imaging, quantum radar, and secure quantum remote sensing, with suggestions toward future technological opportunities in communication and signal processing.
According to the latest research development in quantum information technology in the area of remote sensing,the principles,advantages and research status of quantum imaging and quantum radar are introduced. The issues about basic theories and key technologies in the process of engineering modernization are reviewed. Moreover,the assumption that the new remote sensing system of quantum information technology is expected to break through the limitations of themodern radar and will become the trend of the development of the next generation radar is pointed out.
This thorough overview paper investigates how quantum computing could revolutionize communication systems by resolving the intrinsic drawbacks of classical signal processing. Due to the rapid improvements in technology, these systems are subject to increasing demands for larger connection densities and improved spectrum efficiency, which presents substantial hurdles for conventional signal processing. The acceptance and expansion of modern communication technologies are impeded by these obstacles, which are typified by a trade-off between computing complexity and communication performance. Based on quantum mechanics, quantum computing offers a powerful substitute for classical algorithms by introducing a new paradigm that drastically lowers computational complexity for certain applications. This paper explores the history of quantization in classical communication signals and explores the use of quantum computing techniques in critical applications such as data detection, multi-user detection and channel estimation. The work showcases sophisticated methods for image denoising and Fourier transformations, expanding the conversation to include quantum processing of image signals. These quantum methods show significant promise for improving spectral analysis efficiency, reducing noise and increasing processing speed and accuracy. This study offers a thorough basis for future research and technical innovation in the field of image and conventional signal processing by outlining the current state of the art and possible uses of quantum computing in the future.
Quantum imaging is an emerging field based on quantum mechanics and imaging technology, capable of unique capabilities in resolution, sensitivity, and information processing. An extensive review of the concepts, methods, and uses of quantum imaging is given in this chapter. The main ideas of quantum mechanics that are relevant to imaging, including superposition, entanglement, and quantum measurement, are introduced in this chapter. Following this, the various quantum imaging techniques, including quantum entanglement imaging, ghost imaging, and quantum lithography, illuminating their operational mechanisms and advantages over classical methods, are explored. The role of advanced photonic systems, single-photon detectors, and quantum dots in enhancing image quality are discussed. Additionally, the incorporation of quantum computing and machine learning with quantum imaging is examined, highlighting how these interdisciplinary approaches are pushing the boundaries of what can be visualized and analysed. Quantum imaging applications are varied, groundbreaking, and innovative, ranging from medical diagnostics and biological imaging to quantum communication and fundamental physics research. By harnessing the exclusive properties of quantum states, these applications achieve higher precision and new capabilities that classical imaging techniques cannot match. The challenges and future directions of quantum imaging, considering both the technical hurdles and the potential for groundbreaking discoveries, are discussed as well. In a nutshell, the chapter aims to offer the readers an in-depth insight into quantum imaging, its current state, and its future prospects by providing a holistic view of how quantum imaging is composed to revolutionize various scientific and technological fields.
In recent years, wireless sensing has garnered increasing attention from both industry and academia. Despite its promise, it still faces several fundamental challenges that are difficult to overcome, including hardware thermal noise limitation, antenna size constraint, and limited frequency band resources. At the same time, rapid advancements in quantum technology are driving continuous innovations. By thoroughly understanding the principles of both wireless sensing and quantum physics, we propose a novel paradigm: quantum wireless sensing. Although quantum wireless sensing originates from quantum measurement, its focus has shifted toward practical wireless sensing tasks. This evolution calls for a reassessment of parameter estimation, grounded in the fundamental principles of quantum physics. We believe the unique advantages of quantum receivers - specifically, their high sensitivity and wide frequency range - can unlock powerful quantum sensing capabilities across various domains, including terrestrial, aerospace, and maritime applications. This article articulates our vision for this emerging field, highlighting recent advancements in quantum wireless sensing and exploring promising directions for future research.
Remote sensing has evolved as a key technology for space exploration and earth observation since its emergence in the 1960s, offering precise, macroscopic, and dynamic capabilities. Despite its advancements, challenges remain in meeting the demands for high-resolution detection due to limitations in aperture size expansion and detector performance, quantum noise posing a fundamental issue. A novel quantum remote sensing approach using optical field quantization and squeezed state light is explored to overcome these obstacles, promising enhanced imaging quality and signal-to-noise ratio. This paper presents a principle prototype of this approach, experimental outcomes, and discusses future prospects in quantum remote sensing.
Quantum technologies result from the use of the laws of modern physics in increasingly sophisticated devices, promising enormous advances in computing, communication, and sensing, for both civilian and military use. As a consequence of technological progress that has miniaturized instrumentation down to atomic scales, we are witnessing the nanoscale manipulation of physical systems using intrinsic properties of quantum systems, such as entanglement. Quantum sensors are able to go beyond classical detection limits. Quantum communication offers a security advantage over classical communication. Quantum computing enables the solution of problems considered impossible to solve with classical computers. These technologies emerge as a result of advances in science and engineering, enabling the manipulation of systems at the atomic level. In this article we briefly present the fundamental concepts of quantum mechanics, the main examples of quantum technologies in sensing, communication, and computing. We show military applications and conclude by presenting the challenges and opportunities.