Towards A Realistic Model for Cavity-Enhanced Atomic Frequency Comb Quantum Memories: The Critical Role of Dispersion


APS  ·  2024

Shahrzad Taherizadegan; Jacob Davidson; Sourabh Kumar; Daniel Oblak; Christoph Simon;


HIGHLIGHT
We develop a theoretical model for cavity-enhanced AFC quantum memory and investigate the role of dispersion in the model.
RELATED
Papers      Patents     Grants     Venues     Experts    Cite    Share    Save


ABSTRACT
Future quantum networks rely on long-distance quantum communication which is limited due to the unavoidable photon transmission loss in optical fibers. Quantum repeaters (QRs) are promising quantum alternatives to play the role of classical amplifiers. Atomic frequency comb (AFC) quantum memory implemented in rare-earth-ion doped crystals is a favorable protocol in long-distance quantum communication based on quantum repeaters. Putting the AFC inside an asymmetric optical cavity enhances the storage efficiency but makes the measurement of the comb properties challenging. We develop a theoretical model for cavity-enhanced AFC quantum memory and investigate the role of dispersion in the model. We demonstrate that including the effect of dispersion leads to a good agreement between experimental and model results, whereas the model without dispersion falls short strikingly. Most importantly, the model with dispersion provides a much closer quantitative agreement for estimating the efficiency and a drastically better description of how the efficiency changes as a function of detuning. Furthermore, it better captures certain qualitative features of the experimental reflectivity. Our model is a step forward to accurately estimating the created comb properties, such as the optical depth inside the cavity, and so to being able to make precise predictions of the performance of the prepared cavity-enhanced AFC quantum memory.

 Paraphrase     Questionfy     Wikify     Simplify     Summarize


year_of_publication2024
sourceAPS

AI Reader
upload a document and start your AI-powered reading
AI Writer
you focus on what matters the most, we handle the rest
Daily Digest
get customized highlights of the latest research & news