3 citations · 4 across the 4 of their papers we have counts for
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Quantum network tomography of Rydberg arrays by machine learning
Kaustav Mukherjee, Johannes Schachenmayer, Shannon Whitlock +1
Configurable arrays of optically trapped Rydberg atoms are a versatile platform for quantum computation and quantum simulation, also allowing controllable decoherence. We demonstra…
Automated quantum system modeling with machine learning
Kaustav Mukherjee, Johannes Schachenmayer, Shannon Whitlock +1
Despite the complexity of quantum systems in the real world, models with just a few effective many-body states often suffice to describe their quantum dynamics, provided decoherenc…
Fast and robust cat state preparation utilizing higher order nonlinearities in Rydberg ensembles
S. Zhao, M. G. Krauss, T. Bienaime +4
In optical and solid-state architectures, low-order nonlinearities are commonly exploited for quantum state preparation due to their practical accessibility and controllability, wh…