Connor grew up in Virginia and attended the Thomas Jefferson High School for Science and Technology in Alexandria, VA. He went on to study physics at Duke University, where his research focused on a variety of topics within the field of condensed matter theory, including quasicrystal formation and the design of novel quantum Monte Carlo methods. Connor is now a graduate student in the Yale University Physics Department, and he has been a member of Liang Jiang’s group since 2016.
Connor's main research interest is quantum computing with circuit QED and hybrid quantum systems. For example, he has studied quantum acoustic systems and their applications in quantum computing, as well as a way of improving readout in circuit QED systems. More recently, Connor has been interested in quantum random access memory, focusing on how such memories can be implemented using near-term hardware and how they are affected by decoherence.
High-Fidelity Measurement of Qubits Encoded in Multilevel Superconducting Circuits
S. S. Elder, C. S. Wang, P. Reinhold, C. T. Hann, K. S. Chou, B. J. Lester, S. Rosenblum, L. Frunzio, L. Jiang, and R. J. Schoelkopf. Phys. Rev. X, 10, 011001 (2020).
Hardware-efficient quantum random access memory with hybrid quantum acoustic systems
C. T. Hann, C.-L. Zou, Y. Zhang, Y. Chu, R. J. Schoelkopf, S. M. Girvin, and L. Jiang, Phys. Rev. Lett. 123, 25051 (2019).
Robust readout of bosonic qubits in the dispersive coupling regime
C. Hann, S. S. Elder, C. S. Wang, K. Chou, R. J. Schoelkopf, and L. Jiang, Phys. Rev. A 98, 022305 (2018).