Skip to main content
Go to the home page of the European Commission (opens in new window)
English en
CORDIS - EU research results
CORDIS

Collective effect with ordered nanofiber-trapped atomic arrays as efficient light-matter interfaces

Objective

Efficient interactions between photons and quantum emitters are at the heart of numerous quantum information devices, such as quantum memories, switches or gates. Using chains of individual cold atoms trapped close to an optical nanofiber, the goal of the proposed research is to exploit the enhanced linear and non-linear quantum interactions that can result from the unique features of such one-dimensional ordered arrays. Periodically arranged atomic structures indeed exhibit specific light scattering properties, i.e. Bragg reflection, super-, sub- and even selective radiance. The interaction of guided light with ordered arrays can lead to tailored functionalities unavailable in current light-matter interfaces. Novel and resource-efficient quantum memory and gate protocols will be targeted. This project will push this original light-atom array paradigm towards building blocks for future quantum technologies. The candidate, with a strong background in atomic physics, quantum optics, and nonlinear optics will exploit his expertise to develop the project while extending his skillset towards the implementation of quantum information networks and further developing his innovation and leadership abilities during the fellowship.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European Fellowships

See all projects funded under this funding scheme

Call for proposal

(opens in new window) HORIZON-MSCA-2023-PF-01

See all projects funded under this call

Coordinator

SORBONNE UNIVERSITE
Net EU contribution
€ 211 754,88
Address
21 RUE DE L'ECOLE DE MEDECINE
75006 Paris
France
Region
Ile-de-France Ile-de-France Paris
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data