Description

This dataset contains data supporting the results presented in the paper "Atomic dispensers for thermoplasmonic control of alkali vapor pressure in quantum optical applications". It includes the data used to plot each figure, together with the raw oscilloscope data in .csv format, associated with this publication.

This study uses plasmonic nanoparticles as an alternative to the conventional means, such as bulk heating or laser desorption to convert light into localized thermal energy and to achieve optical depths in warm vapors, which was proven to produce far improved results. The response is over a thousand times faster than previously observed corresponding to a ~16 times increase in vapour pressure in less than 20 ms., with possible reload times much shorter than an hour. The results enable robust and compact light-matter devices, such as efficient quantum memories and photon-photon logic gates, in which strong optical nonlinearities are crucial.

Supplementary Information of the publication contains more details on the methodology and data preparation.
Date made available24 May 2019
PublisherUniversity of Bath
Date of data production1 Jan 2018 - 1 May 2018

Cite this

Rusimova, K. (Creator), Slavov, D. (Creator), Pradaux-Caggiano, F. (Creator), Collins, J. (Creator), Gordeev, S. (Creator), Carbery, D. (Creator), Mosley, P. (Creator), Wadsworth, W. (Creator), Valev, V. (Creator)(24 May 2019). Dataset for "Atomic dispensers for thermoplasmonic control of alkali vapor pressure in quantum optical applications". University of Bath. 10.15125/BATH-00529