info:eu-repo/semantics/article
The Quantum Mechanics Propagator as the Machine Learning Performance in Space-Time Displacements
Fecha
2022-03-03Registro en:
Nieto-Chaupis, H. (2021). The Quantum Mechanics Propagator as the Machine Learning Performance in Space-Time Displacements. In 2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE) (pp. 135-136). IEEE.
978-1-6654-3736-3
2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE)
Autor
Nieto-Chaupis, Huber
Institución
Resumen
The role of evolution operator is to provide the time displacement of wave function through the Hamiltonian of the system. The usage of coordinates representation gives the well-known propagator that is the Green’s function. In this paper it is emphasized that once the propagator is projected onto a scenario of machine learning it would acquire the role of performance in according to the criteria of Tom Mitchell. In this manner from the resulting wave function the probability is simulated presenting noteworthy morphologies in the which the system displays high values of probability for the measurement of distances.