The current rise of quantum technology is compelled by quantum sensing research. Thousands of research labs are developing and testing a broad range of sensor prototypes. However, there is a lack of knowledge about specific applications and real-world use cases where the benefits of these sensors will be most pronounced. This study presents a comprehensive review of quantum sensing state-of-practice. It also provides a detailed analysis of how quantum sensing overcomes the existing limitations of sensor-driven systems’ precision and performance. Based on the review of over 500 quantum sensor prototype reports, we determined four groups of quantum sensors and discussed their readiness for commercial usage. We concluded that quantum magnetometry and quantum optics are the most advanced sensing technologies with empirically proven results. In turn, quantum timing and kinetics are still in the early stages of practical validation. In addition, we defined four systems domains in which quantum sensors offer a solution for existing limitations of conventional sensing technologies. These domains are 1) GPS-free positioning and navigating services, 2) time-based operations, 3) topological visibility, and 4) environment detection, prediction, and modeling. Finally, we discussed the current constraints of quantum sensing technologies and offered directions for future research.

The vital role of civil engineering is to enable the development of modern cities and establish foundations for smart and sustainable urban environments of the future. Advanced sensing technologies are among the instrumental methods used to enhance the performance of civil engineering infrastructures and address the multifaceted challenges of future cities. Through this study, we discussed the shortcomings of traditional sensors in four primary civil engineering domains: construction, energy, water, and transportation. Then, we investigated and summarized the potential of quantum sensors to contribute to and revolutionize the management of civil engineering infrastructures. For the water sector, advancements are expected in monitoring water quality and pressure in water and sewage infrastructures. In the energy sector, quantum sensors may facilitate renewables integration and improve grid stability and buildings’ energy efficiency. The most promising progress in the construction field is the ability to identify subsurface density and underground structures. In transportation, these sensors create many fresh avenues for real-time traffic management and smart mobility solutions. As one of the first-in-the-field studies offering the adoption of quantum sensors across four primary domains of civil engineering, this research establishes the basis for the discourse about the scope and timeline for deploying quantum sensors to real-world applications towards the quantum transformation of civil engineering.

Quantum sensing technologies provide future cities with unimaginable techniques for solving their complex problems. Quantum sensors, through the utilization of quantum effects such as superposition, entanglement, and tunneling, can provide an unmatched level of sensitivity, precision, and durability against traditional sensing technologies. This study explores the potential applications of quantum sensing in four critical urban infrastructure domains: water, energy, transport, and construction. Throughout this study, we determine the most promising quantum sensing technologies for each domain. Besides, we discuss the technical progress of these sensors and the advantages they have in comparison with classical devices, as well as the organizational issues cities can face when implementing these sensors. Our results indicate that quantum sensing will be a critical enabler of future smart cities, generating advanced monitoring, control, and decision-making capabilities across various sectors. Nevertheless, taking advantage of this potential will demand the close partnership of cities, industry, academia, and policymakers to guide the complicated adoption process.

This study examines the motivational changes of undergraduate students participating in a practical course designed to address the challenge of aligning academic training with industry needs. The study spanned two iterations of the course. During the first iteration, qualitative interviews were conducted to assess changes in student motivation throughout the practical course. In the second iteration, a motivation questionnaire was administered at three points: before, during, and after course completion. The results indicate a general decrease in student motivation during the course, followed by a partial recovery towards the end. This fluctuation highlights the need for continuous support and realistic feedback to maintain student engagement and motivation. This study contributes to the expanding body of research on how practical, industry-focused courses influence student motivation. By incorporating real-world contexts and challenges, this type of course can greatly enrich learning experiences and better prepare students for professional settings. However, one should carefully design these courses and implement effective mechanisms to maintain and foster student motivation throughout the course duration.