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Quantum Simulation of the Agassi Model in Trapped Ions

Pedro Pérez Fernández, José Miguel Arias Carrasco, J. E. García Ramos, Lucas Lamata

Published May 6, 2021• 0 citations
OpenAlex

Abstract

This work was partially supported by the Consejeria de Economia, Conocimiento, Empresas y Universidad de la Junta de Andalucia (Spain) under Groups FQM-160, FQM-177, and FQM-370, by the Spanish Ministerio de Ciencia e Innovacion, FIS2017-88410-P, PGC2018-095113-B-I00, PID2019-104002GB-C21 and PID2019-104002GB-C22, as well as by the European Commission, H2020-INFRAIA-2014-2015 (ENSAR2) and by European Regional Development Fund (ERDF), ref. SOMM17/6105/UGR. Resources supporting this work were provided by the CEAFMC and Universidad de Huelva High Performance Computer (HPC@UHU) funded by ERDF/MINECO project UNHU-15CE-2848

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This work was partially supported by the Consejeria de Economia, Conocimiento, Empresas y Universidad de la Junta de Andalucia (Spain) under Groups FQM-160, FQM-177, and FQM-370, by the Spanish Ministerio de Ciencia e Innovacion, FIS2017-88410-P, PGC2018-095113-B-I00, PID2019-104002GB-C21 and PID2019-104002GB-C22, as well as by the European Commission, H2020-INFRAIA-2014-2015 (ENSAR2) and by European Regional Development Fund (ERDF), ref. SOMM17/6105/UGR. Resources supporting this work were provided by the CEAFMC and Universidad de Huelva High Performance Computer (HPC@UHU) funded by ERDF/MINECO project UNHU-15CE-2848
This work was supported in part by the Ministry of Economy and Competitiveness (“Ministerio de Economia y Competitividad”) from Spain/FEDER under grant MINECO‐16‐TEC2015‐67387‐C4‐3‐R, by the Ministry of Economy, Industry and Competitiveness (“Ministerio de Economia, Industria y Competitividad”) from Spain/FEDER under grant MTM‐2017‐83506‐C2‐2‐P, by Ministry of Science and Innovation (“Ministerio de Ciencia e Innovacion”) from Spain/FEDER under grant RTI2018‐098085‐B‐C44, and by he Regional Ministry of the Principality of Asturias (“Consejeria de Empleo, Industria y Turismo del Principado de Asturias”) under grants FC‐GRUPIN‐IDI/2018/000193 and FC‐GRUPIN‐IDI/2018/000226.
Acknowledgements: AB acknowledges financial support from the European Research Council (ERC Grant Agreement No. 81876) and VILLUM FONDEN via the QMATH Centre of Excellence (Grant No.10059). Moreover, AB is supported by the French National Research Agency in the framework of the “France 2030” program (ANR-11-LABX-0025-01) for the LabEx PERSYVAL. AC acknowledges the support of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project-ID 470903074 – TRR 352. APH is partially supported by the Escuela Técnica Superior de Ingenieros Industriales (UNED) of Spain, project 2023-ETSII-UNED-01, as well as by the Spanish Ministerio de Ciencia e Innovación project PID2020-113523GB-I00 and by Comunidad de Madrid project QUITEMAD-CM P2018/TCS4342. AC and AB are grateful for the hospitality of Perimeter Institute where part of this work was carried out. Research at Perimeter Institute is supported in part by the Government of Canada through the Department of Innovation, Science and Economic Development and by the Province of Ontario through the Ministry of Colleges and Universities. This research was also supported in part by the Simons Foundation through the Simons Foundation Emmy Noether Fellows Program at Perimeter Institute.