Marsh

Brendan Marsh

Brendan investigates many-body quantum physics with ultracold atoms and photons to realize novel quantum systems and harness them for practical or computational benefit. Before joining JILA as a post-doctoral researcher with Prof. Adam Kaufman and Prof. Cindy Regal, he completed his Ph.D. with Prof. Benjamin Lev at Stanford in the area of multimode cavity QED. His thesis presents the first realization of a quantum-optical associative memory neural network: a system made only of ultracold atoms and light which is able to store more than a dozen patterns as memories, and recall those memories even when presented with errors, achieving a form of pattern completion. His graduate work spans experimental and theoretical aspects of many-body physics, ranging from the theory of open quantum systems to realizing driven-dissipative spin glass models in condensed matter physics. He earned a master’s degree in applied mathematics and theoretical physics from the University of Cambridge, commonly known as Part III of the Mathematical Tripos, and received a BS in physics and mathematics from the University of Missouri in 2017, where he worked on experimental biophysics with Dr. Gavin King and designed the Hessian blob algorithm.

At JILA, Brendan works on the cryogenic Rydberg atom array experiment to push the limits on the generation of large-scale, defect-free atom arrays, explore the advantages afforded by reduced blackbody radiation at cryogenic temperatures, and harness those effects to realize novel quantum systems.

brendan