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.
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.
Background: High-precision sensing is vital for modern technology, yet conventional sensors are fundamentally constrained by classical noise limits. Quantum sensing leverages principles of quantum mechanics, such as superposition and entanglement, to overcome these barriers, offering unprecedented sensitivity. This review comprehensively analyzes the current state of quantum sensor technology, focusing on its underlying physical principles, emerging applications, and the pathway toward industrial maturation.Methods: We synthesize findings from key research areas, detailing the foundational quantum systems like Nitrogen-Vacancy (NV) centers in diamond and advanced optical techniques. The paper reviews the theoretical methods used to achieve sub-shot-noise performance and discusses the system-level engineering challenges necessary for practical deployment, particularly concerning microwave control and optical readout. We also assess the current landscape of standardization efforts for quantum technologies.Results: Significant breakthroughs are highlighted in both biomedical and environmental sensing. Applications range from tracking cellular redox-status using electron-paramagnetic resonance to ultra-sensitive salinity measurements. The analysis confirms that quantum sensing provides superior resolution compared to classical counterparts, unlocking new capabilities in in-vivo and real-time monitoring.Discussion: While offering transformative potential, widespread adoption faces hurdles, including the maintenance of quantum coherence in ambient environments and the high cost and complexity of current instrumentation. Future efforts must focus on miniaturization, integration with classical systems, and standardized fabrication protocols. Quantum sensing represents the next-generation technological paradigm for metrology.
Recent years have witnessed a growing interest in understating the limitations imposed by quantum noise in precision measurements and devising techniques to reduce it. The attention is currently turning to the simultaneously estimation of several parameters of interest, driven by its promising potential across a wide range of sensing applications as well as fueled by experimental progress in various optical and atomic platforms. Here, we provide a comprehensive overview of key research directions in multiparameter quantum sensing and metrology, highlighting both opportunities and challenges. We introduce the basic framework, discuss ultimate sensitivity bounds, optimal measurement strategies, and the role of quantum incompatibility, showing important differences with respect to single-parameter estimation. Additionally, we discuss emerging experimental implementations in distributed quantum sensing, including cutting-edge optimization techniques. This review aims to bridge the gap between theory and experiments, paving the way for the next-generation of quantum sensors and their integration with other quantum technologies.
Quantum engineering represents a burgeoning field at the intersection of quantum mechanics, engineering, and technology, aimed at harnessing the unique properties of quantum systems for practical applications. This paper provides an overview of recent advances in quantum engineering and explores the diverse array of applications enabled by quantum phenomena. From quantum computing and quantum communication to quantum sensing and metrology, quantum engineering promises to revolutionize various domains by offering unprecedented capabilities for processing and manipulating information, sensing and detecting signals, and simulating complex systems. By leveraging the principles of superposition, entanglement, and coherence, researchers are developing novel quantum devices and technologies with the potential to transform industries ranging from healthcare and telecommunications to finance and materials science. developments in quantum engineering, highlights emerging trends and challenges, and outlines future directions for research and innovation in this exciting and rapidly evolving field.
Recent years have witnessed a tremendous amount of interest in wireless sensing, i.e., instead of employing traditional sensors, wireless signal is utilized for sensing purposes. Contact-free wireless sensing has been successfully demonstrated using various RF signals such as WiFi, RFID, LoRa, and mmWave, enabling a large range of applications. However, limited by hardware thermal noise, the granularity of RF sensing is still relatively coarse. In this paper, instead of using the macro signal power/phase for sensing, we propose the first quantum wireless sensing system, which uses the micro energy level of atoms for sensing, improving the sensing granularity by an order of magnitude. The proposed quantum wireless sensing system is capable of utilizing a wide spectrum of frequencies (e.g., 2.4 GHz, 5 GHz and 28 GHz) for sensing. We demonstrate the superior performance of quantum wireless sensing with two widely-used signals, i.e., WiFi and 28 GHz millimeter wave. We show that quantum wireless sensing can push the sensing granularity of WiFi from millimeter level to sub-millimeter level and push the sensing granularity of millimeter wave to micrometer level.
With the emergence of the 5G and beyond, wireless networks have transformed from a simple communication medium to ubiquitous versatile platforms. This trend has enabled numerous device-free and non-contact applications. As computing power and machine learning algorithms continue to improve, deep learning techniques are increasingly used in wireless sensing applications. However, the limits of deep learning-centered wireless sensing approaches are still being explored. Concurrently, research in quantum computing is advancing rapidly, prompting researchers to explore the burgeoning field of quantum machine learning, which combines quantum computing and machine learning, for its boundless potential. In this article, we propose a general quantum machine learning framework for wireless sensing applications in the Artificial Internet of Things (AIoT). The proposed framework provides a systematic approach for designing deeply interpreted wireless sensing models based on quantum machine learning. We then present several representative applications and case studies, and conclude this article with a discussion of the challenges and future research directions in this exciting area.
Quantum networks are a rapidly evolving technology that utilizes the principles of quantum mechanics to facilitate secure communication, distributed quantum computing, and highly sensitive sensor networks. Quantum networks are constructed using diverse components, such as quantum information sources, quantum memories, quantum repeaters, and quantum detectors. These networks leverage the distinctive features of quantum mechanics, such as superposition and entanglement, to attain superior performance benefits. Despite the numerous challenges that impede the development of quantum networks, such as the requirement for more efficient and dependable components, considerable advancements have been achieved in recent years through the utilization of simulations and experimental platforms. With the growing need for enhanced security and faster computing, the potential for quantum networks appears promising in the future. The potential of these innovations to revolutionize various fields and facilitate novel breakthroughs and discoveries is noteworthy. In this paper, we review the current state of the art in quantum networks, including key concepts and technologies such as quantum key distribution, quantum repeaters, and quantum routing. We also discuss some of the key challenges in quantum networks, including scalability, noise, and interoperability, and highlight some of the key research directions in this field. Finally, we discuss some of the potential applications of quantum networks, including secure communication, quantum computing, and quantum sensing. This paper provides a comprehensive overview of the current status and future directions of quantum networks and will be of interest to researchers, engineers, and policymakers working in this field.