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Advances in Quantum Spectral Estimation

February 12, 2018 - 11:00am
Speaker: 
Lorenza Viola
Institution: 
Dartmouth

Accurately characterizing the spectral properties of environmental noise in open quantum systems is both a prerequisite for quantitative modeling and prediction, and a key step toward optimizing control performance for high-fidelity quantum information processing and quantum science applications. I will describe recent advances in developing quantum control methods for spectral estimation using qubit-based sensors. In particular, I will show how dynamical decoupling noise spectroscopy protocols may be extended to both non-Gaussian and multi-qubit noise settings in principle, and how control modulation using Slepian functions may pave the way to optimally band-limited quantum sensing protocols. Experimental demonstration of Slepian-based multitaper spectral estimation using trapped-ions will be illustrated, as well as current progress towards non-Gaussian quantum noise spectroscopy in superconducting qubits.

Host: Mohammad Hafezi

Atlantic 2400
College Park, MD 20742