Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Valentin Gebhart"'
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-7 (2021)
Abstract Despite intensive research, the physical origin of the speed-up offered by quantum algorithms remains mysterious. No general physical quantity, like, for instance, entanglement, can be singled out as the essential useful resource. Here we re
Externí odkaz:
https://doaj.org/article/d6b0b61ac3d9426e9f5be5d58874ebfa
Autor:
Valentin Gebhart, Augusto Smerzi
Publikováno v:
Quantum, Vol 7, p 897 (2023)
Discarding undesirable measurement results in Bell experiments opens the detection loophole that prevents a conclusive demonstration of nonlocality. As closing the detection loophole represents a major technical challenge for many practical Bell expe
Externí odkaz:
https://doaj.org/article/88a468b5a2bb44d7896209cbf6ec1d48
Autor:
Valentin Gebhart, Martin Bohmann, Karsten Weiher, Nicola Biagi, Alessandro Zavatta, Marco Bellini, Elizabeth Agudelo
Publikováno v:
Physical Review Research, Vol 3, Iss 2, p 023229 (2021)
The fast and accessible verification of nonclassical resources is an indispensable step toward a broad utilization of continuous-variable quantum technologies. Here, we use machine learning methods for the identification of nonclassicality of quantum
Externí odkaz:
https://doaj.org/article/dadc1e53b10c4fcf8b3e9c4c1414661d
Publikováno v:
New Journal of Physics, Vol 23, Iss 7, p 073026 (2021)
We predict a repulsive Casimir–Polder-type dispersion interaction between a single neutron and a metal or dielectric surface. We consider a scenario where a single neutron is subject to an external magnetic field. Due to its intrinsic magnetic mome
Externí odkaz:
https://doaj.org/article/157ae0dd4b2842428c6cd856311d908f
Autor:
Valentin Gebhart, Martin Bohmann
Publikováno v:
Physical Review Research, Vol 2, Iss 2, p 023150 (2020)
Machine-learning and neural-network approaches have gained huge attention in the context of quantum science and technology in recent years. One of the most essential tasks for the future development of quantum technologies is the verification of nonc
Externí odkaz:
https://doaj.org/article/fd41d2b1e1164ced90a956f8203f57b7
Autor:
Valentin Gebhart, Augusto Smerzi
Genuine multipartite nonlocality (GMN), the strongest form of multipartite nonlocality that describes fully collective nonlocal correlations among all experimental parties, can be observed when different distant parties each locally measure a particl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::109e86f0e4b8119ef72a62689024e5f2
http://arxiv.org/abs/2207.13579
http://arxiv.org/abs/2207.13579
Autor:
Valentin Gebhart, Raffaele Santagati, Antonio Andrea Gentile, Erik M. Gauger, David Craig, Natalia Ares, Leonardo Banchi, Florian Marquardt, Luca Pezzè, Cristian Bonato
The future development of quantum technologies relies on creating and manipulating quantum systems of increasing complexity, with key applications in computation, simulation and sensing. This poses severe challenges in the efficient control, calibrat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::619b023c8b803af0a336e59ffdd30664
http://arxiv.org/abs/2207.00298
http://arxiv.org/abs/2207.00298
Autor:
Valentin Gebhart, Alessandro Romito, Thomas Wellens, Yuval Gefen, Andreas Buchleitner, Kyrylo Snizhko
Publikováno v:
Proc Natl Acad Sci U S A
The state of a quantum system, adiabatically driven in a cycle, may acquire a measurable phase depending only on the closed trajectory in parameter space. Such geometric phases are ubiquitous, and also underline the physics of robust topological phen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69b4df78593d68a37c2f063503c9e591
https://doi.org/10.1073/pnas.1911620117
https://doi.org/10.1073/pnas.1911620117
Publikováno v:
Physical review letters. 127(14)
The generation and verification of genuine multipartite nonlocality (GMN) is of central interest for both fundamental research and quantum technological applications, such as quantum privacy. To demonstrate GMN in measurement data, the statistics are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3281ad5ddfebf64e79393f0b7633b3a8
https://pubmed.ncbi.nlm.nih.gov/34652187
https://pubmed.ncbi.nlm.nih.gov/34652187
Autor:
Elizabeth Agudelo, Valentin Gebhart, Marco Bellini, Nicola Biagi, Martin Bohmann, Karsten Weiher, Alessandro Zavatta
Publikováno v:
Physical Review Research
The fast and accessible verification of nonclassical resources is an indispensable step towards a broad utilization of continuous-variable quantum technologies. Here, we use machine learning methods for the identification of nonclassicality of quantu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d03fa6904f6644c054a8aa1876329028