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quant-ph2024
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…
quant-ph2024
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…
quant-ph2023
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…