Photo: Matt DiMario

Matt DiMario

  • Postdoctoral Fellow

Current Work Location:
National Institute of Standards and Technology



  • Ph.D., Physics, University of New Mexico, 2021


I am an experimental physicist with broad experience encompassing quantum optics, estimation & information theory, numerical simulations in MATLAB/Python, algorithm development, FPGAs, and machine learning. I focus on applying adaptive Bayesian strategies to quantum optical measurements of laser light, which surpass the limits of standard approaches and have applications in both classical and quantum communication. My published research ranges from novel, optimized, non-classical communication receivers and strategies, to optical phase estimation beyond the limits of conventional detection, to applications of machine learning in non-conventional receivers. The past 5 years, I have gained extensive experience taking algorithms and strategies from theory to implementation in FPGAs, and experimentally demonstrating the capabilities of these next-generation quantum optical measurements.