This project seeks to develop a new generation of quantum sensors that are not only highly sensitive but also scalable and robust under real-world conditions. Traditional quantum sensing technologies, while powerful, often rely on delicate quantum states that are easily disrupted by noise and loss, limiting their practical use outside controlled laboratory settings. This research takes a fundamentally different approach by designing quantum sensors that extract useful quantum features from classical light sources and operate effectively even in noisy or lossy environments. At the heart of this work is a novel sensing platform based on plasmonic nanostructures—metallic surfaces that can tightly confine light and support complex light–matter interactions. These structures will be paired with quantum protocols that enable the extraction of multiparticle quantum systems, even when the light fields originate from classical or partially coherent sources. The resulting sensors are expected to achieve sensitivity beyond the shot-noise limit, and resolve spatial features smaller than the wavelength of light. This makes them ideal for applications such as gas sensing and the detection of fragile biological samples, where strong illumination could cause damage. Beyond the scientific contributions, the project includes a strong educational component. Undergraduate and graduate students will receive hands-on training in quantum optics, nanofabrication, and data science. The PI’s lab wil