Dennis Lucarelli

Research Professor of Physics at American University
CEO of Error Corp
dennis@error-corp.com

Hosted by: Shantanu Chakrabartty

Abstract:  Quantum processors have improved dramatically in recent years, yet noise and errors still limit the accuracy and utility of quantum computation. System and control methods, adapted to the quantum domain, offer numerical, software-defined solutions for  increasing quantum processor fidelity and accurate noise characterization.  

In this talk, I will introduce  gradient-based methods for open-loop control synthesis that leverage basis function expansions of the control waveforms.  Restricting the space of allowable controls to the Slepian sequences, a discrete time basis known to be optimally concentrated in time and frequency, yields physically realizable controls tuned to experimental hardware constraints.  The talk will summarize recent results exploiting the method for quantum optimal control, spectral estimation, and noise suppression.

Bio: Dennis Lucarelli is a research professor of physics at American University and CEO of Error Corp. Prior to founding Error Corp., he was principal research scientist at Johns Hopkins University Applied Physics Lab where he led projects  in autonomous systems, machine learning, and quantum information.

He received his doctorate with a specialization in quantum control from Washington University in St. Louis in 2002.