Conference Paper/Proceeding/Abstract 1197 views
Time optimal information transfer in spintronics networks
Pages: 6454 - 6459
Swansea University Author: Sophie Shermer
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1109/CDC.2015.7403236
Abstract
Propagation of information encoded in spin degrees of freedom through networks of coupled spins enables important applications in spintronics and quantum information processing. We study control of information propagation in networks of spin-1/2 particles with uniform nearest neighbor couplings form...
ISBN: | 978-1-4799-7884-7 |
---|---|
Published: |
Osaka
IEEE
2015
|
URI: | https://cronfa.swan.ac.uk/Record/cronfa23894 |
first_indexed |
2016-04-04T00:54:53Z |
---|---|
last_indexed |
2018-05-26T18:27:35Z |
id |
cronfa23894 |
recordtype |
SURis |
fullrecord |
<?xml version="1.0"?><rfc1807><datestamp>2018-05-26T17:30:44.5393284</datestamp><bib-version>v2</bib-version><id>23894</id><entry>2015-10-22</entry><title>Time optimal information transfer in spintronics networks</title><swanseaauthors><author><sid>6ebef22eb31eafc75aedcf5bfe487777</sid><ORCID>0000-0002-5530-7750</ORCID><firstname>Sophie</firstname><surname>Shermer</surname><name>Sophie Shermer</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2015-10-22</date><deptcode>BGPS</deptcode><abstract>Propagation of information encoded in spin degrees of freedom through networks of coupled spins enables important applications in spintronics and quantum information processing. We study control of information propagation in networks of spin-1/2 particles with uniform nearest neighbor couplings forming a ring with a single excitation in the network as simple prototype of a router for spin-based information. Specifically optimizing spatially distributed potentials, which remain constant during information transfer, simplifies the implementation of the routing scheme. However, the limited degrees of freedom makes finding a control that maximizes the transfer probability in a short time difficult. We show that the structure of the eigenvalues and eigenvectors must fulfill a specific condition to be able to maximize the transfer fidelity, and demonstrate that a specific choice among the many potential structures that fulfill this condition significantly improves the solutions found by optimal control.</abstract><type>Conference Paper/Proceeding/Abstract</type><journal/><paginationStart>6454</paginationStart><paginationEnd>6459</paginationEnd><publisher>IEEE</publisher><placeOfPublication>Osaka</placeOfPublication><isbnPrint>978-1-4799-7884-7</isbnPrint><keywords>quantum spintronics, robust control</keywords><publishedDay>31</publishedDay><publishedMonth>12</publishedMonth><publishedYear>2015</publishedYear><publishedDate>2015-12-31</publishedDate><doi>10.1109/CDC.2015.7403236</doi><url/><notes/><college>COLLEGE NANME</college><department>Biosciences Geography and Physics School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BGPS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2018-05-26T17:30:44.5393284</lastEdited><Created>2015-10-22T22:36:07.1753171</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Physics</level></path><authors><author><firstname>Frank C</firstname><surname>Langbein</surname><order>1</order></author><author><firstname>Sophie</firstname><surname>Schirmer</surname><order>2</order></author><author><firstname>Edmond</firstname><surname>Jonckheere</surname><order>3</order></author><author><firstname>Sophie</firstname><surname>Shermer</surname><orcid>0000-0002-5530-7750</orcid><order>4</order></author></authors><documents/><OutputDurs/></rfc1807> |
spelling |
2018-05-26T17:30:44.5393284 v2 23894 2015-10-22 Time optimal information transfer in spintronics networks 6ebef22eb31eafc75aedcf5bfe487777 0000-0002-5530-7750 Sophie Shermer Sophie Shermer true false 2015-10-22 BGPS Propagation of information encoded in spin degrees of freedom through networks of coupled spins enables important applications in spintronics and quantum information processing. We study control of information propagation in networks of spin-1/2 particles with uniform nearest neighbor couplings forming a ring with a single excitation in the network as simple prototype of a router for spin-based information. Specifically optimizing spatially distributed potentials, which remain constant during information transfer, simplifies the implementation of the routing scheme. However, the limited degrees of freedom makes finding a control that maximizes the transfer probability in a short time difficult. We show that the structure of the eigenvalues and eigenvectors must fulfill a specific condition to be able to maximize the transfer fidelity, and demonstrate that a specific choice among the many potential structures that fulfill this condition significantly improves the solutions found by optimal control. Conference Paper/Proceeding/Abstract 6454 6459 IEEE Osaka 978-1-4799-7884-7 quantum spintronics, robust control 31 12 2015 2015-12-31 10.1109/CDC.2015.7403236 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University 2018-05-26T17:30:44.5393284 2015-10-22T22:36:07.1753171 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Physics Frank C Langbein 1 Sophie Schirmer 2 Edmond Jonckheere 3 Sophie Shermer 0000-0002-5530-7750 4 |
title |
Time optimal information transfer in spintronics networks |
spellingShingle |
Time optimal information transfer in spintronics networks Sophie Shermer |
title_short |
Time optimal information transfer in spintronics networks |
title_full |
Time optimal information transfer in spintronics networks |
title_fullStr |
Time optimal information transfer in spintronics networks |
title_full_unstemmed |
Time optimal information transfer in spintronics networks |
title_sort |
Time optimal information transfer in spintronics networks |
author_id_str_mv |
6ebef22eb31eafc75aedcf5bfe487777 |
author_id_fullname_str_mv |
6ebef22eb31eafc75aedcf5bfe487777_***_Sophie Shermer |
author |
Sophie Shermer |
author2 |
Frank C Langbein Sophie Schirmer Edmond Jonckheere Sophie Shermer |
format |
Conference Paper/Proceeding/Abstract |
container_start_page |
6454 |
publishDate |
2015 |
institution |
Swansea University |
isbn |
978-1-4799-7884-7 |
doi_str_mv |
10.1109/CDC.2015.7403236 |
publisher |
IEEE |
college_str |
Faculty of Science and Engineering |
hierarchytype |
|
hierarchy_top_id |
facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
hierarchy_parent_id |
facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Biosciences, Geography and Physics - Physics{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Physics |
document_store_str |
0 |
active_str |
0 |
description |
Propagation of information encoded in spin degrees of freedom through networks of coupled spins enables important applications in spintronics and quantum information processing. We study control of information propagation in networks of spin-1/2 particles with uniform nearest neighbor couplings forming a ring with a single excitation in the network as simple prototype of a router for spin-based information. Specifically optimizing spatially distributed potentials, which remain constant during information transfer, simplifies the implementation of the routing scheme. However, the limited degrees of freedom makes finding a control that maximizes the transfer probability in a short time difficult. We show that the structure of the eigenvalues and eigenvectors must fulfill a specific condition to be able to maximize the transfer fidelity, and demonstrate that a specific choice among the many potential structures that fulfill this condition significantly improves the solutions found by optimal control. |
published_date |
2015-12-31T18:46:06Z |
_version_ |
1821341663789842432 |
score |
11.04748 |