DQC Seminar Series: Controlling chaos with adaptive circuits on a quantum processor

Abstract: Chaotic evolution, the exponential sensitivity to initial conditions, underpins a great deal of everyday phenomena. In certain settings, it is possible to control the chaotic evolution by pushing the system towards an unstable fixed point of the dynamics, which drives the system through an absorbing state transition. Recent efforts have shown how to embed this dynamics into a quantum many body system, which requires using measurements and feedback to design the control operation. In the quantum setting this drives a measurement induced phase transition that may or may not coincide with the absorbing state transition depending on the structure of the feedback operation. We will discuss the current theoretical understanding of feedback driven transitions in quantum many-body systems and will present data on realizing this system on IBM's superconducing quantum processor with over 100 qubits. Brief Bio: Jed Pixley is a theoretical condensed matter physicist whose research focuses on critical phenomena in quantum systems, both in and out of equilibrium. He earned dual degrees in Physics and Pure Mathematics from the University of California, Santa Cruz, and received his PhD from Rice University under the supervision of Qimiao Si. Following a postdoctoral fellowship at the University of Maryland with Sankar Das Sarma, he joined Rutgers University in 2017, where he is now Associate Professor and Director of the Center for Materials Theory. He is also a long-term visiting scientist at the Flatiron Institute, serves on the Board of General Members at the Aspen Center for Physics, and is a Faculty Associate of the International Center for Theoretical Sciences in Bangalore India. His work spans condensed matter theory, statistical physics, AMO physics, computational physics, and quantum information science. --- Upcoming seminars 26 Mar: Liudmila Zhukas 2 Apr: TBA 16 Apr: TBA 23 Apr: Sophia Economou