3 citations · 5 across the 4 of their papers we have counts for
4 papers
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…
Statistical learning on randomized data to verify quantum state approximate k-designs
Kaustav Mukherjee, Sarah Chehade, Lorenzo Versini +3
Random ensembles of pure states have proven to be extremely important in various aspects of quantum physics such as benchmarking the performance of quantum circuits, testing for qu…
Excitons guided by polaritons
K. Mukherjee, S. Wüster
We show that an exciton on a discrete chain of sites can be guided by effective measurements induced by an ambient, non-equilibrium medium that is synchronised to the exciton trans…