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20152025
most citedHighly efficient optical quantum memory with long coherence time in cold atoms

216 citations · 504 across the 14 of their papers we have counts for

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10 papers · 1 filter

quant-ph2025

Spectrotemporal processing in a dual gradient echo and electromagnetically-induced transparency memory

Jesse L Everett

Spectrotemporal encoding of optical quantum information is emerging as a powerful tool in quantum information technology. Processing of spectrotemporal information has recently bee…

quant-ph2025

Demonstration of a photonic time-frequency Fourier transform and temporal double slit using atomic quantum memory

Ankit Papneja, Jesse Everett, Cameron Trainor +2

A quantum memory for light is expected to play a crucial role in quantum communication protocols and distributed quantum computing. In addition to storage and buffering, a quantum…

quant-ph2019★ 15 cited

Stationary light in atomic media

Jesse L. Everett, Daniel B. Higginbottom, Geoff T. Campbell +2

When ensembles of atoms interact with coherent light fields a great many interesting and useful effects can be observed. In particular, the group velocity of the coherent fields ca…

quant-ph2019★ 10 cited

Time-reversed and coherently-enhanced memory: A single-mode quantum atom-optic memory without a cavity

Jesse L. Everett, Pierre Vernaz-Gris, Geoff T. Campbell +5

The efficiency of an ensemble-based optical quantum memory depends critically on the strength of the atom-light coupling. An optical cavity is an effective method to enhance atom-l…

quant-ph2018★ 14 cited

High-performance Raman memory with spatio-temporal reversal

Pierre Vernaz-Gris, Aaron D. Tranter, Jesse L. Everett +5

A number of techniques exist to use an ensemble of atoms as a quantum memory for light. Many of these propose to use backward retrieval as a way to improve the storage and recall e…

quant-ph2018★ 95 cited

Multiparameter optimisation of a magneto-optical trap using deep learning

Aaron D. Tranter, Harry J. Slatyer, Michael R. Hush +7

Many important physical processes have dynamics that are too complex to completely model analytically. Optimisation of such processes often relies on intuition, trial-and-error, or…