Next generation quantum sensing technologies (RIA) Proposals should focus on next generation quantum sensors that provide extreme precision and accuracy measurements in many fields, beyond the performance of consumer devices and services, from medical diagnostics and imaging, high-precision navigation, and monitoring, to future applications in the Internet of Things and for enhanced measurement and metrology.Proposals should address: (i) the development of new methods and techniques to achieve full control over all relevant quantum degrees of freedom and to protect them from environmental noise; and/or (ii) identify correlated quantum states that outperform uncorrelated systems in a noisy environment and methods to prepare them reliably. Proposed work should exploit quantum properties (such as coherence, superposition and entanglement) emerging in quantum systems to improve the performance of the targeted sensors technologies (e.g. in terms of resolution, sensitivity or noise), well beyond the classical limits.Proposals should target the development of laboratory prototypes (from TRL 2-3 to 4-5) demonstrating the practical usefulness of engineered quantum states of light/matter to improve sensing or imaging and develop and demonstrate optimized quantum software for detection applications in real-world applications. They should leverage interdisciplinary expertise and join forces with metrology institutes or other relevant technical fields to further advance the limits of sensors sensitivity and resolution and to implement the best control protocols, statistical techniques (e.g. Bayesian, among others) and machine learning algorithms.Finally, proposals should also coordinate their respective activities within each sensing subfield (solid-state, atomic systems, photonics) and contribute to the governance and overall coordination of the Quantum Technologies Flagship. They should also contribute to spreading excellence across Europe; for example, through the involvement of Widening Countries.In this topic the integration of the gender dimension (sex and gender analysis) in research and innovation content is not a mandatory requirement.