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Author(s):  
Lucas Hofer ◽  
Milan Krstajić ◽  
Peter Juhasz ◽  
Anna Marchant ◽  
Robert Smith




2020 ◽  
Vol 101 (1) ◽  
Author(s):  
T. S. do Espirito Santo ◽  
P. Weiss ◽  
A. Cipris ◽  
R. Kaiser ◽  
W. Guerin ◽  
...  


2020 ◽  
Vol 101 (1) ◽  
Author(s):  
F. Robicheaux ◽  
R. T. Sutherland
Keyword(s):  


2016 ◽  
Vol 70 (12) ◽  
Author(s):  
Yukun Luo ◽  
Shuhua Yan ◽  
Qingqing Hu ◽  
Aiai Jia ◽  
Chunhua Wei ◽  
...  


2016 ◽  
Vol 359 ◽  
pp. 123-128 ◽  
Author(s):  
Hepeng Yao ◽  
Tian Luan ◽  
Chen Li ◽  
Yin Zhang ◽  
Zhaoyuan Ma ◽  
...  
Keyword(s):  


2015 ◽  
Author(s):  
J. F. Chen ◽  
Zhiguang Han ◽  
Peng Qian ◽  
L. Zhou ◽  
Weiping Zhang


2015 ◽  
Vol 32 (6) ◽  
pp. 064211 ◽  
Author(s):  
Jun Zhang ◽  
Zhen-Jie Gu ◽  
Peng Qian ◽  
Zhi-Guang Han ◽  
Jie-Fei Chen


2015 ◽  
Vol 26 (07) ◽  
pp. 1550082 ◽  
Author(s):  
Florian Pinsker

Optical computing devices can be implemented based on controlled generation of soliton trains in single and multicomponent Bose–Einstein condensates (BEC). Our concepts utilize the phenomenon that the frequency of soliton trains in BEC can be governed by changing interactions within the atom cloud [F. Pinsker, N. G. Berloff and V. M. Pérez-García, Phys. Rev. A87, 053624 (2013), arXiv:1305.4097]. We use this property to store numbers in terms of those frequencies for a short time until observation. The properties of soliton trains can be changed in an intended way by other components of BEC occupying comparable states or via phase engineering. We elucidate, in which sense, such an additional degree of freedom can be regarded as a tool for controlled manipulation of data. Finally, the outcome of any manipulation made is read out by observing the signature within the density profile.



2014 ◽  
Vol 90 (3) ◽  
Author(s):  
Alexander Dunning ◽  
Rachel Gregory ◽  
James Bateman ◽  
Nathan Cooper ◽  
Matthew Himsworth ◽  
...  


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