Semi-device-independent certification of entanglement in superdense coding
| Autor: | Gois, Carlos Augusto Belini de, 1992, Rabelo, Rafael Luiz da Silva, 1986 |
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| Přispěvatelé: | UNIVERSIDADE ESTADUAL DE CAMPINAS |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Repositório da Produção Científica e Intelectual da Unicamp Universidade Estadual de Campinas (UNICAMP) instacron:UNICAMP Repositório Institucional da Unicamp |
| Popis: | Agradecimentos: We acknowledge the John Templeton Foundation via Q-CAUSAL Grant No. 61084, the Serrapilheira Institute (Grant No. Serra-1708-15763), the Brazilian National Council for Scientific and Technological Development via the National Institute for Science and Technology on Quantum Information (Grants No. 307172/2017-1 and No. 406574/2018-9), the Brazilian agencies MCTIC and MEC, the São Paulo Research Foundation FAPESP (Grant No. 2018/07258-7), and FAEPEX/UNICAMP (Grant No. 3044/19). We thank Lina Vandré, Otfried Guehne, Marco Túlio Quintino, Jedrzej Kaniewski, Máté Farkas and Armin Tavakoli for useful comments on the manuscript Abstract: Superdense coding is a paradigmatic protocol in quantum information science, employing a quantum communication channel to send classical information more efficiently. As we show here, it can be understood as a particular case of a prepare and measure experiment, a scenario that has attracted growing attention for its fundamental and practical applications. Formulating superdense coding as a prepare and measure scenario allows us to provide a semi-device-independent witness of entanglement that significantly improves over previous tests. Furthermore, we also show how to adapt our results into self-testing of maximally entangled states and also provide a semidefinite program formulation allowing one to efficiently optimize, for any shared quantum state, the probability of success in the superdense coding protocol CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP Fechado |
| Databáze: | OpenAIRE |
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