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Generation and detection of many-particle entanglement in quantum optical systems

Cel

During the last decade, quantum entanglement has been intensively studied within quantum information science and has also appeared as a natural goal of recent quantum experiments. Because of that the theoretical background of detecting entanglement has been rapidly developing. However, most of this development concentrated on bipartite or few-party entanglement, while today's experiments typically involve many particles. Thus, as one of the most interesting part of quantum optics and quantum information, I chose to study multi-partite entanglement theory, with a stress on creation and generation of many-particle entanglement. There are two main system types in today's experiments. In some systems all particles are individually accessible, such as trapped ions or photons. In such systems entanglement detection is still a challenge as the number of local measurements is limited. I propose to study efficient methods for detecting entanglement in such systems. In other physical systems, such as cold ensembles of a million atoms, particles are not accessible individually and only collective measurements are possible. To obtain useful information about the quantum state is a challenge. I propose to study entanglement creation and detection also in such systems. The latter topic is naturally connected to the efficient modeling of large quantum systems, since exact modeling is not possible for such system sizes.

Zaproszenie do składania wniosków

ERC-2010-StG_20091028
Zobacz inne projekty w ramach tego zaproszenia

System finansowania

ERC-SG - ERC Starting Grant

Instytucja przyjmująca

UNIVERSIDAD DEL PAIS VASCO/ EUSKAL HERRIKO UNIBERTSITATEA
Wkład UE
€ 1 294 350,00
Adres
BARRIO SARRIENA S N
48940 Leioa
Hiszpania

Zobacz na mapie

Region
Noreste País Vasco Bizkaia
Rodzaj działalności
Higher or Secondary Education Establishments
Kontakt administracyjny
Astrid Beascoa (Ms.)
Kierownik naukowy
Geza Toth (Prof.)
Linki
Koszt całkowity
Brak danych

Beneficjenci (1)