Title
The Quantum Mechanics Propagator as the Machine Learning Performance in Space-Time Displacements
Date Issued
01 January 2021
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
Institute of Electrical and Electronics Engineers Inc.
Abstract
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.
Start page
135
End page
136
Language
English
OCDE Knowledge area
Ingeniería mecánica
Termodinámica
Subjects
Scopus EID
2-s2.0-85127625788
ISBN of the container
9781665437363
Conference
Proceedings - 2021 IEEE 4th International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2021
Sources of information:
Directorio de Producción Científica
Scopus