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Improved Characterization and Provably Optimal Control of Temporally Correlated Control Noise
Robert Barr and Colin Trout - Johns Hopkins University Applied Physics Laboratory
Monday, July 18, 2022, 11:00 am-12:00 pm Calendar
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The ability to perform fast and robust operations on multi-qubit quantum systems is a necessity for realizing reliable quantum computation. Unfortunately, the inevitable interaction between a quantum system and its environment presents an obstacle for achieving such operations. Despite this challenge, when used in tandem, quantum noise characterization and quantum control provide a means for engineering targeted control protocols that achieve noise-robust quantum logic operations informed by knowledge of the underlying noise properties. In this talk, we specifically focus on the characterization and mitigation of temporally correlated control noise. First, we present recent results on characterizing temporally correlated control noise in the presence of strong dephasing and detuning noise. Through the use of filter design methods, we will show that one can design control waveforms that combine attributes of noise characterization sequences with attributes of noise suppression sequences. Second, we demonstrate an approach for engineering quantum control that optimally mitigates temporally-correlated control noise.  Our approach takes the characterization of the control noise as input and utilizes model-based descriptions of the noisy dynamics to frame the search for control solutions as a convex gate-based circuit optimization. When used in concert, the presented characterization and control protocols enable improved estimation of control noise power spectra and efficient design of noise-tailored provably optimal control.

Robert Barr:  11:00 a.m. to 11:30 a.m

Colin Trout:  11:30 a.m. to 12:00 p.m.

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This talk is organized by Andrea F. Svejda