activity
20032023
most citedTraining Schrödinger's cat: quantum optimal control

779 citations · 3k across the 62 of their papers we have counts for

collaborators

62 papers

cond-mat.quant-gas2023

Floquet operator engineering for quantum state stroboscopic stabilization

Floriane Arrouas, Lucas Gabardos, Nicolas Ombredane +6

Optimal control is a valuable tool for quantum simulation, allowing for the optimized preparation, manipulation, and measurement of quantum states. Through the optimization of a ti…

quant-ph2023

Optimal Control Strategies for Parameter Estimation of Quantum Systems

Quentin Ansel, Etienne Dionis, Dominique Sugny

Optimal control theory is an effective tool to improve parameter estimation of quantum systems. Different methods can be employed for the design of the control protocol. They can b…

quant-ph2023★ 4 cited

Complete positivity, positivity and long-time asymptotic behavior in a two-level open quantum system

G. Théret, D. Sugny

We study the concepts of complete positivity, positivity and non-Markovianity in a two-level open quantum system whose dynamics are governed by a time-local quantum master equation…

physics.class-ph2023

Reply to the comment on the letter "Geometric Origin of the Tennis Racket Effect"

P. Mardesic, G. J. Gutierrez Guillen, D. Sugny

The author of the comment~[arXiv:2302.04190] criticizes our published results in Phys. Rev. Lett. \textbf{125}, 064301 (2020) about the Tennis Racket Effect (TRE). The TRE is a geo…

physics.class-ph2023★ 1 cited

Signatures of physical constraints in rotating rigid bodies

G. J. Gutierrez Guillen, E. Aldo Arroyo, P. Mardesic +1

We study signatures of physical constraints on free rotations of rigid bodies. We show analytically that the physical or non-physical nature of the moments of inertia of a system c…

quant-ph2022★ 5 cited

Characterization of a driven two-level quantum system by Supervised Learning

R. Couturier, E. Dionis, S. Guérin +2

We investigate the extent to which a two-level quantum system subjected to an external time-dependent drive can be characterized by supervised learning. We apply this approach to t…