Ryan T. Glasser

Ryan T. Glasser is an Associate Professor at Tulane University's School of Science and Engineering, leading research at the intersection of quantum information, nonlinear optics, and machine learning. He directs the Quantum Information and Nonlinear Optics Group, investigating quantum communication protocols, quantum state estimation, and optical technologies enhanced by machine learning.

Dr. Glasser's research focuses on:

• Machine learning applications in quantum state reconstruction
• Quantum communication through turbulent channels
• Development of open-source tools for experimental control
• Optical analogues of quantum phenomena

His lab explores four-wave mixing processes in atomic vapor to generate entangled photon states and develops neural network approaches for correcting atmospheric turbulence in free-space optical communications. Recent work demonstrates quantum-enhanced sensing using classical light and machine-learning-assisted Bayesian quantum state estimation.

Professor Glasser organizes the annual Quantum Information Technologies in Louisiana (QuILT) conference to foster regional collaboration in quantum sciences. His research has been supported by grants from the U.S. Army Research Office, DARPA, Northrop Grumman, and the Office of Naval Research.