Efficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channels
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Tipo de documento: | Dissertação |
Título da fonte: | Portal de Dados Abertos da CAPES |
Texto Completo: | https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5754375 |
id |
BRCRIS_f5c660c16e47189cc4479ab894c065cc |
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network_acronym_str |
CAPES |
network_name_str |
Portal de Dados Abertos da CAPES |
dc.title.pt-BR.fl_str_mv |
Efficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channels |
title |
Efficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channels |
spellingShingle |
Efficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channels Importance sampling. Amostragem por import^ancia RENATO MELLO DA SILVA FARIAS |
title_short |
Efficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channels |
title_full |
Efficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channels |
title_fullStr |
Efficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channels Efficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channels |
title_full_unstemmed |
Efficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channels Efficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channels |
title_sort |
Efficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channels |
topic |
Importance sampling. Amostragem por import^ancia |
publishDate |
2018 |
format |
masterThesis |
url |
https://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5754375 |
author_role |
author |
author |
RENATO MELLO DA SILVA FARIAS |
author_facet |
RENATO MELLO DA SILVA FARIAS |
dc.contributor.authorLattes.fl_str_mv |
http://lattes.cnpq.br/4475534160491708 |
dc.contributor.advisor1.fl_str_mv |
MARIO LEANDRO AOLITA |
dc.publisher.none.fl_str_mv |
UNIVERSIDADE FEDERAL DO RIO DE JANEIRO |
publisher.none.fl_str_mv |
UNIVERSIDADE FEDERAL DO RIO DE JANEIRO |
instname_str |
UNIVERSIDADE FEDERAL DO RIO DE JANEIRO |
dc.publisher.program.fl_str_mv |
FÍSICA |
dc.description.course.none.fl_txt_mv |
FÍSICA |
reponame_str |
Portal de Dados Abertos da CAPES |
collection |
Portal de Dados Abertos da CAPES |
spelling |
CAPESPortal de Dados Abertos da CAPESEfficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channelsEfficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channelsEfficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channelsEfficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channelsEfficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channelsEfficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channelsEfficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channelsImportance sampling.2018masterThesishttps://sucupira.capes.gov.br/sucupira/public/consultas/coleta/trabalhoConclusao/viewTrabalhoConclusao.jsf?popup=true&id_trabalho=5754375authorRENATO MELLO DA SILVA FARIAShttp://lattes.cnpq.br/4475534160491708MARIO LEANDRO AOLITAUNIVERSIDADE FEDERAL DO RIO DE JANEIROUNIVERSIDADE FEDERAL DO RIO DE JANEIROUNIVERSIDADE FEDERAL DO RIO DE JANEIROFÍSICAFÍSICAPortal de Dados Abertos da CAPESPortal de Dados Abertos da CAPES |
identifier_str_mv |
FARIAS, RENATO MELLO DA SILVA. Efficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channels. 2018. Tese. |
dc.identifier.citation.fl_str_mv |
FARIAS, RENATO MELLO DA SILVA. Efficient, experimentally-friendly fidelity witnesses for multi-mode Gaussian states and channels. 2018. Tese. |
_version_ |
1741888350325833728 |