activity
20232026
most citedQuantum network tomography of Rydberg arrays by machine learning

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Disorder-induced non-Gaussian states in large ensembles of cavity-coupled molecules

R. Schwengelbeck, M. Pandini, R. Daraban +1

We analyze vibrational dynamics in a toy model for polaritonic chemistry under collective electronic strong coupling. In a Holstein-Tavis-Cummings model, incoherently excited by a…

quant-ph2025★ 1 cited

Tailoring interaction ranges in atom arrays

T. Botzung, G. Creutzer, C. Sayrin +1

We introduce a method to synthetically engineer the range of dipolar interactions in tweezer atom arrays by effectively modifying the modes of the electromagnetic vacuum with far-d…

quant-ph2024★ 3 cited

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

Evolutionary reduction of the laser noise impact on quantum gates

Tam'si Ley, Anna Ouskova Leonteva, Johannes Schachenmayer +1

As the size of quantum hardware progressively increases, the conjectured computational advantages of quantum technologies tend to be threatened by noise, which randomly corrupts th…