Large-scale quantum computing with phase Fresnel lenses

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Title Large-scale quantum computing with phase Fresnel lenses
Author Streed, Erik; Norton, Benjamin Geoffrey; Chapman, Justin; Kielpinski, David
Publication Title Proceedings of the Australasian Conference on Optics, Lasers, and Spectroscopy and Australian Conference on Optical Fibre Technology in association with the International Workshop on Dissipative Solitons 2009
Editor Peter Veitch
Year Published 2009
Abstract Efficient ion-photon coupling is an important component for large-scale ion-trap quantum computing. We propose that phase Fresnel lenses (PFLs) are a favorable optical coupling technology to match with multi-zone ion traps. Both are scalable technologies based on conventional micro-fabrication techniques. Large numerical aperture (NA) PFLs can reduce the readout time for ion qubits and provide good coherent coupling to a single optical mode. From optical characterization of a suitable PFL we predict a coherent coupling efficiency of >0.64%, twice the best experimental efficiency achieved to date. In addition, high NA entanglement fidelity limits can be removed by optical filtering.
Peer Reviewed Yes
Published Yes
Publisher URI http://aos.physics.mq.edu.au/acols/ACOLShome.htm
Copyright Statement Copyright 2009 ACOLS ACOFT Use hypertext link to access the publisher's webpage. The attached file is posted here in accordance with the copyright policy of the publisher, for your personal use only. No further distribution permitted.
ISBN 1-876346-61-2
Conference name ACOLS ASCOFT 09 Conference
Location Adelaide
Date From 2009-11-29
Date To 2009-12-03
URI http://hdl.handle.net/10072/31974
Date Accessioned 2010-03-04
Date Available 2010-10-19T07:00:18Z
Language en_AU
Research Centre Centre for Quantum Dynamics; Institute for Glycomics
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Quantum Information, Computation and Communication
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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