212 citations · 1.3k across the 40 of their papers we have counts for
Showing 2022 · quant-phShow all
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quant-ph2022★ 2 cited
Optimised Bayesian system identification in quantum devices
Thomas M. Stace, Jiayin Chen, Li Li +6
Identifying and calibrating quantitative dynamical models for physical quantum systems is important for a variety of applications. Here we present a closed-loop Bayesian learning a…
quant-ph2022★ 40 cited
Experimental benchmarking of an automated deterministic error suppression workflow for quantum algorithms
Pranav S. Mundada, Aaron Barbosa, Smarak Maity +8
Excitement about the promise of quantum computers is tempered by the reality that the hardware remains exceptionally fragile and error-prone, forming a bottleneck in the developmen…