dc.creator | Nieto-Chaupis, Huber | |
dc.date.accessioned | 2023-10-04T19:01:49Z | |
dc.date.accessioned | 2024-08-06T21:07:37Z | |
dc.date.available | 2023-10-04T19:01:49Z | |
dc.date.available | 2024-08-06T21:07:37Z | |
dc.date.created | 2023-10-04T19:01:49Z | |
dc.date.issued | 2022 | |
dc.identifier | https://hdl.handle.net/20.500.13067/2659 | |
dc.identifier | 2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation (CEFC) | |
dc.identifier | https://doi.org/10.1109/CEFC55061.2022.9940776 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/9539662 | |
dc.description.abstract | The principles of Machine Learning through the criteria of Mitchell are used to validate a concrete quantum-mechanics interpretation from a classical radiation scheme inside the framework of linear and nonlinear Compton scattering off a relativistic electron in a super-intense electromagnetic field. | |
dc.language | eng | |
dc.publisher | IEEE | |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.subject | Quantum computing | |
dc.subject | Quantization (signal) | |
dc.subject | Electromagnetic scattering | |
dc.subject | Quantum mechanics | |
dc.subject | Machine learning | |
dc.subject | Mathematical models | |
dc.subject | Electromagnetic fields | |
dc.title | The Criteria of Mitchell to Interpret Classical Radiation as Compton Scattering | |
dc.type | info:eu-repo/semantics/article | |