3k citations · 20.6k across the 59 of their papers we have counts for
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quant-ph2014★ 134 cited
Machine learning for discriminating quantum measurement trajectories and improving readout
Easwar Magesan, Jay M. Gambetta, A. D. Córcoles +1
High-fidelity measurements are important for the physical implementation of quantum information protocols. Current methods for classifying measurement trajectories in superconducti…
quant-ph2014★ 516 cited
Detecting arbitrary quantum errors via stabilizer measurements on a sublattice of the surface code
A. D. Córcoles, Easwar Magesan, Srikanth J. Srinivasan +4
To build a fault-tolerant quantum computer, it is necessary to implement a quantum error correcting code. Such codes rely on the ability to extract information about the quantum er…