David Schuster received his bachelor's degree in mathematics-physics in 2001 at Brown University, and his PhD in physics in 2007 from the Yale University. He was awarded the Northeastern Association of Graduate Schools Dissertation Award.
He performed postdoctoral research at Yale and MIT on studying hybrid quantum systems, before joining the faculty of the physics department at the University of Chicago in late 2010. As a faculty member he has received several honors including the William L. McMillan Prize, the Packard Fellowship, NSF CAREER award, and Darpa Young Faculty Award.
Schuster Lab specializes in quantum information, with research efforts in quantum computing, hybrid quantum systems, and quantum simulation. His research focuses on understanding and controlling the unique properties such as superposition and entanglement of quantum systems in a variety of platforms.
The group studies:
- fundamental aspects of realizing a quantum information processor based on superconducting quantum circuits
- novel circuits to make better qubits
- how to implement quantum memories and how they may differ from their classical counterparts
- how to perform quantum error correction in ways which are aware of the physical processes of decoherence.
Schuster Lab also studies hybrid quantum systems, in which two different types of quantum systems are made to interact coherently. This can allow one to take advantage of the unique capabilities of each system to perform tasks that neither could do by itself such as transduction, sensing, or long lived memories with fast computation. This work is inherently interdisciplinary and many of the projects are done in collaboration with other PME and Physics faculty.
Lastly, the group primarily in collaboration with the Simon Group studies analog quantum simulation, in which condensed matter systems of interest are created synthetically from quantum circuit elements. In this manner we are studying strongly interacting photonic systems, microwave topological materials, and how dissipation can be used as a resource rather than a liability.