Speaker
Description
Neutrino flavour conversion, usually described by vacuum oscillations and neutrino-matter forward scattering, is a a well-established phenomenon that has been observed experimentally. However, in very dense environments such as supernovae, neutrino-neutrino interactions are not negligible and the dominant flavour conversion process is coherent forward scattering. Understanding collective neutrino oscillations is key in order to correctly interpret supernova neutrino signals in detectors, but modelling these interactions for a very large number of neutrinos is computationally expensive in a classical computer. We compare two methods with a reduced computational load: a mean-field approach, in which neutrinos evolve like single-particle states without quantum correlations, and quantum computing, with a focus on the role of quantum entanglement.
| Position | PhD student |
|---|