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Stéphane Guérin

Researcher at Centre national de la recherche scientifique

Publications -  145
Citations -  3711

Stéphane Guérin is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Adiabatic process & Stimulated Raman adiabatic passage. The author has an hindex of 33, co-authored 137 publications receiving 3251 citations. Previous affiliations of Stéphane Guérin include University of Burgundy.

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Arbitrary state controlled-unitary gate by adiabatic passage

TL;DR: In this article, the authors proposed a fast scheme involving atoms fixed in an optical cavity to directly implement the universal controlled-unitary gate, which has potential applications to the rapid implementation of quantum algorithms such as the projective measurement algorithm.
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Adiabatic passage mediated by plasmons: A route towards a decoherence-free quantum plasmonic platform

TL;DR: In this paper, the interaction of surface plasmons with quantum emitters is described by an effective model that has the same structure as a lossy multimode cavity quantum electromagnetic interaction.
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Ultimate field-free molecular alignment by combined adiabatic-impulsive field design

TL;DR: In this paper, a laser pulse designed as an adiabatic ramp followed by a kick allows one to reach a perfect postpulse molecular alignment, free of saturation, based on an optimized distribution of the energy between a weakly efficient but nonsaturating ramp and an efficient but saturating impulsive field.
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Fast SWAP gate by adiabatic passage

TL;DR: In this paper, a decoherence-free SWAP gate construction method based on adiabatic passage is presented. But it does not require a composition of elementary gates from a universal set.
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Optimal Robust Quantum Control by Inverse Geometric Optimization.

TL;DR: An inverse geometric optimization technique that allows the derivation of optimal and robust exact solutions of low-dimension quantum control problems driven by external fields is developed, referred to as robust inverse optimization (RIO), to design optimal control fields producing a complete or half population transfer.