I am broadly interested in quantum information science and engineering, with a particular focus on quantum computing and quantum sensing. I received my Ph.D. in physics from the University of Southern California (USC) in 2024, where I studied the physics and applications of quantum neural networks. From 2024 to 2026, I was a postdoctoral…

I'm interested in computing, learning, and sensing with physical systems. My current research is mostly focused on learning with free-space optical systems in low-light, noisy regimes, as well as with quantum circuits. I received my B.S. in physics from Peking University. In my spare time, I enjoy playing contract bridge, reading, and watching…

I work on developing a new readout protocol for superconducting qubits using embedded amplifiers (EA), which achieve directional on-chip amplification of superconducting qubits for more scalable readout. In developing the theory to describe and analyze this system, I work closely with Boris Mesits and team from the Hatlab (Michael Hatridge's…

Thomas Maldonado is a PhD student in the ECE department. He received his B.A. degree in Physics and Mathematics from Harvard University. His research is focused on modeling the electrodynamics of superconducting materials and devices, with an eye toward applications in quantum technologies.

I am interested in computing and learning with quantum systems from a theory perspective and with a focus towards practically implementable applications in current hardware. In particular, I am interested in the use of physical neural networks for quantum data processing tasks, for instance for quantum sensing in the finite sampling regime. In…

I am a PhD student in the ECE department. I previously received my B.A. in physics and math from Columbia University.  My research is focused on the intersection of fundamental QED and quantum simulation, with a particular focus on analog quantum simulation of gauge theories.