Optimized programming of a rare-earth ion doped crystal, operating as a RF signal spectral analyzer, or as a quantum information storage processor

The development of a quantum memory for light involves the most fundamental aspects of the light-matter interaction. To store the quantum information carried by light, the material has to be able to stay in a state of quantum superposition. The storage time is limited by the lifetime of this state, characterized by the coherence time. The first experiments involved the well-known cold atomic vapors. More recently, Rare Earth Ions doped Crystals (REIC) have drawn attention because of their remarkably long coherence time, combined with a large interaction bandwidth. Specific protocols have been proposed to take the most out of these properties. We have opted for a promising spin-off of the well-known photon echo, named the Atomic Frequency Comb (AFC, proposed in 2008), based on the transmission of the incoming field through a spectrally periodic absorption profile. The first chapters of this manuscript present this protocol and our works aimed at improving its efficiency (the probability for capturing and retrieving the incoming information), increasing its bandwidth and its multiplexing capacity and measuring its noise. The following chapters present a new protocol, proposed in our group during this thesis, and called Revival Of Silenced Echo (ROSE). This protocol, similar to the photon echo, have been demonstrated and characterized experimentally. It seems really promising in terms of efficiency, bandwidth and noise.

Data and Resources

Additional Info

Field Value
Source https://theses.hal.science/tel-00766334
Author Bonarota, Matthieu
Maintainer CCSD
Last Updated May 30, 2026, 14:00 (UTC)
Created May 30, 2026, 14:00 (UTC)
Identifier NNT: 2012PA112324
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire Aimé Cotton (LAC) ; École normale supérieure - Cachan (ENS Cachan)-Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS)
creator Bonarota, Matthieu
date 2012-09-21T00:00:00
harvest_object_id ebcf16cb-2622-4f94-89bf-09089efefc2c
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-03-30T00:00:00
set_spec type:THESE