Ultracold quantum matter

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Coherent splitting of two-dimensional Bose gases in magnetic potentials

(2020)

Authors:

Adam J Barker, Shinichi Sunami, David Garrick, Abel Beregi, Kathrin Luksch, Elliot Bentine, Christopher J Foot
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Demonstration of an Atomic Frequency Comb Quantum Memory using Velocity-Selective Pumping in Warm Alkali Vapour

Conference Proceedings - Lasers and Electro-Optics Society Annual Meeting-LEOS 2020-May (2020)

Authors:

TM Hird, DJ Main, S Gao, E Oguz, DJ Saunders, IA Walmsley, PM Ledingham

Abstract:

We present the first demonstration of velocity-selective pumping in an atomic vapour to preserve light-matter coherence. Control is illustrated by a subsequent demonstration of an atomic frequency comb quantum memory realised in the vapour.

Realising a species-selective double well with multiple-radiofrequency-dressed potentials

(2020)

Authors:

AJ Barker, S Sunami, D Garrick, A Beregi, K Luksch, E Bentine, CJ Foot
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AEDGE: Atomic Experiment for Dark Matter and Gravity Exploration in Space

EPJ QUANTUM TECHNOLOGY 7:1 (2020) ARTN 6

Authors:

Yousef Abou El-Neaj, Cristiano Alpigiani, Sana Amairi-Pyka, Henrique Araujo, Antun Balaz, Angelo Bassi, Lars Bathe-Peters, Baptiste Battelier, Aleksandar Belic, Elliot Bentine, Jose Bernabeu, Andrea Bertoldi, Robert Bingham, Diego Blas, Vasiliki Bolpasi, Kai Bongs, Sougato Bose, Philippe Bouyer, Themis Bowcock, William Bowden, Oliver Buchmueller, Clare Burrage, Xavier Calmet, Benjamin Canuel, Laurentiu-Ioan Caramete, Andrew Carroll, Giancarlo Cella, Vassilis Charmandaris, Swapan Chattopadhyay, Xuzong Chen, Maria Luisa Chiofalo, Jonathon Coleman, Joseph Cotter, Yanou Cui, Andrei Derevianko, Albert De Roeck, Goran S Djordjevic, Peter Dornan, Michael Doser, Ioannis Drougkakis, Jacob Dunningham, Ioana Dutan, Sajan Easo, Gedminas Elertas, John Ellis, Mai El Sawy, Farida Fassi, Daniel Felea, Chen-Hao Feng, Robert Flack, Chris Foot, Ivette Fuentes, Naceur Gaaloul, Alexandre Gauguet, Remi Geiger, Valerie Gibson, Gian Giudice, Jon Goldwin, Oleg Grachov, Peter W Graham, Dario Grasso, Maurits Van der Grinten, Mustafa Guendogan, Martin G Haehnelt, Tiffany Harte, Aurelien Hees, Richard Hobson, Jason Hogan, Bodil Holst, Michael Holynski, Mark Kasevich, Bradley J Kavanagh, Wolf Von Klitzing, Tim Kovachy, Benjamin Krikler, Markus Krutzik, Marek Lewicki, Yu-Hung Lien, Miaoyuan Liu, Giuseppe Gaetano Luciano, Alain Magnon, Mohammed Attia Mahmoud, Sarah Malik, Christopher McCabe, Jeremiah Mitchell, Julia Pahl, Debapriya Pal, Saurabh Pandey, Dimitris Papazoglou, Mauro Paternostro, Bjoern Penning, Achim Peters, Marco Prevedelli, Vishnupriya Puthiya-Veettil, John Quenby, Ernst Rasel, Sean Ravenhall, Jack Ringwood, Albert Roura, Dylan Sabulsky, Muhammed Sameed, Ben Sauer, Stefan Alaric Schaffer, Stephan Schiller, Vladimir Schkolnik, Dennis Schlippert, Christian Schubert, Haifa Rejeb Sfar, Armin Shayeghi, Ian Shipsey, Carla Signorini, Yeshpal Singh, Marcelle Soares-Santos, Fiodor Sorrentino, Timothy Sumner, Konstantinos Tassis, Silvia Tentindo, Guglielmo Maria Tino, Jonathan N Tinsley, James Unwin, Tristan Valenzuela, Georgios Vasilakis, Ville Vaskonen, Christian Vogt, Alex Webber-Date, Andre Wenzlawski, Patrick Windpassinger, Marian Woltmann, Efe Yazgan, Ming-Sheng Zhan, Xinhao Zou, Jure Zupan
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(py)LIon: A package for simulating trapped ion trajectories

Computer Physics Communications (2020)

Authors:

E Bentine, CJ Foot, D Trypogeorgos

Abstract:

© 2020 Elsevier B.V. The (py)LIon package is a set of tools to simulate the classical trajectories of ensembles of ions in electrodynamic traps. Molecular dynamics simulations are performed using LAMMPS, an efficient and feature-rich program. (py)LIon has been validated by comparison with the analytic theory describing ion trap dynamics. Notable features include GPU-accelerated force calculations, and treating collections of ions as rigid bodies to enable investigations of the rotational dynamics of large, mesoscopic charged particles. Programme summary: Program Title: (py)LIon Program Files doi: http://dx.doi.org/10.17632/ywwd9nnxjh.1 Licencing provisions: MIT Programming language: Matlab, Python Subprograms used: LAMMPS Nature of problem: Simulating the dynamics of ions and mesoscopic charged particles confined in an electrodynamic trap using molecular dynamics methods Solution method: Provide a tested, feature-rich API to configure molecular dynamics calculations in LAMMPS Unusual features: (py)LIon can treat collections of ions as rigid bodies to simulate larger objects confined in electrodynamic traps. GPU acceleration is provided through the LAMMPS [Formula presented] package.
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