activity
19972026
most citedMachine Learning for Estimation and Control of Quantum Systems

11 citations · 16 across the 13 of their papers we have counts for

collaborators

14 papers

quant-ph2026

Helicity decoupling ultrastrong Rabi splitting from quantum vacuum dressing

Ayoub El-Amrani, Nasir Boubekraoui, Zakaria Mzaouali +4

Polaritons and quantum vacuum dressing are usually regarded as intertwined consequences of ultrastrong light-matter coupling. Here we show that they can be controlled independently…

cond-mat.mes-hall2026

Chirality routing non-polaritonic vacuum correlations in Landau polaritons

Ayoub EL-Amrani, Zakaria Mzaouali, Houssam Sabri +3

Ultrastrong coupling between matter and cavity vacuum fields can turn the electromagnetic vacuum into a structured quantum environment, thereby opening passive routes for modifying…

quant-ph2025

Directional Motional Control via Engineered Conical Intersections in Trapped Rydberg Ions

Abdessamad Belfakir, Yousra Bouasria, Herschel Rabitz +1

We demonstrate coherent control of motional dynamics in trapped Rydberg ions engineered to exhibit a conical intersection between adiabatic potential-energy surfaces. Using quantum…

quant-ph2025

A Fundamental Bound for Robust Quantum Gate Control

Robert L. Kosut, Daniel A. Lidar, Herschel Rabitz

We derive a universal performance limit for coherent quantum control in the presence of modeled and unmodeled uncertainties. For any target unitary that is implementable in the…

quant-ph2025

Mechanism behind creating qubit gates expressed as interfering quantum pathway amplitudes

Michael Kasprzak, Gaurav Bhole, Herschel Rabitz

Hamiltonian encoding was introduced as a technique for revealing the mechanism of controlled quantum systems. It does so by decomposing the evolution into pathways between the comp…

quant-ph2025★ 11 cited

Machine Learning for Estimation and Control of Quantum Systems

Hailan Ma, Bo Qi, Ian R. Petersen +3

The development of quantum technologies relies on creating and manipulating quantum systems of increasing complexity, with key applications in computation, simulation, and sensing.…