dc.creator | Nieto-Chaupis, Huber | |
dc.date.accessioned | 2023-12-28T14:33:08Z | |
dc.date.accessioned | 2024-08-06T20:56:12Z | |
dc.date.available | 2023-12-28T14:33:08Z | |
dc.date.available | 2024-08-06T20:56:12Z | |
dc.date.created | 2023-12-28T14:33:08Z | |
dc.date.issued | 2023 | |
dc.identifier | https://hdl.handle.net/20.500.13067/2923 | |
dc.identifier | Intelligent Systems and Applications | |
dc.identifier | https://doi.org/10.1007/978-3-031-16072-1_6 | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/9538999 | |
dc.description.abstract | In Physics the energy of any system represents a sensitive variable because of it depends the functionality and evolution of system at time. Thus the deep knowledge of the interactions of system might be a remarkable advantage as to anticipate stochastic fluctuations as well as minimize the errors at the done measurements. Thus, in this paper a particular attention is paid on the mathematical characteristics of the quantum mechanics evolution operator when it is projected onto a full scenario of principles based at Machine Learning. In concrete the case of pass of charged particle through a bunch of charged particles can be perceived as a system exhibiting oscillations because the attraction and repulsion forces experienced along the space-time trajectory. The fact that the energy can be controllable by using free parameters can be advantageous in the sense of providing a learning to the system in order to optimize the total energy at key space-time coordinates. | |
dc.language | eng | |
dc.publisher | Springer Link | |
dc.relation | https://link.springer.com/chapter/10.1007/978-3-031-16072-1_6 | |
dc.rights | https://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.rights | info:eu-repo/semantics/restrictedAccess | |
dc.source | 82 | |
dc.source | 96 | |
dc.subject | Quantum mechanics | |
dc.subject | Machine learning | |
dc.subject | Tom MItchell | |
dc.title | Quantum Displacements Dictated by Machine Learning Principles: Towards Optimization of Quantum Paths | |
dc.type | info:eu-repo/semantics/article | |