RYAN GLASSER INTERNAL

Our group's research includes several projects surrounding the fields of quantum information technologies, machine learning, and optical communications. Some examples include developing and applying neural networks to classical and quantum communications, multi-party quantum networks, and quantum state estimation. One core aspect of this research is to improve our understanding of the fundamental physics surrounding quantum entanglement and quantum states of light, which are integral to the creation of future quantum networks. A second aspect involves utilizing these concepts in various computation, communication, and measurement protocols to enhance performance beyond classical limits. We are also developing machine learning tools for enhancing a variety of classical and quantum optical systems and protocols. This includes enhancing ground-to-satellite classical and quantum communications, in collaboration with NASA, ARL, and Howard University.