Vendredi 12 juillet 2024 à 14h
 

en salle de séminaire du bâtiment H de l'UFR Sciences à l'UBO

Manu PARANJAPE, Professeur à l'Université de Montréal au Canada 

donnera un exposé intitulé

Gravity and Quantum Mechanics

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This talk aims to emphasize the crucial role of cutting-edge data-driven modeling techniques in constructing compact and fast-to-evaluate surrogate models of electronic devices and circuits for stochastic analysis and optimization purposes. Initially, several modeling techniques, such as least-squares regressions, kernel regression, Artificial Neural Networks, and advanced solutions for vector-valued problems, will be briefly presented to highlight their advantages, capabilities, and limitations. Subsequently, in the second part of the presentation, the effectiveness and strength of these techniques will be showcased through applications in uncertainty quantification, optimization, and parametric modeling across various test cases.

Résumé de la présentation

We take the audience on a tour of some aspects of gravitational physics and quantum mechanics, from very real, experimentally accessible situations to rather speculative and fantastical astrophysical applications. We start with classical gravitation interacting with a quantum mechanical system and transition to quantum gravity interacting with quantum systems.  The theory of quantum gravity is not yet considered complete, however, an effective theory of quantum gravity has been well-understood since the 1970s.  We address the question of whether the graviton, the putative quantum of the gravitational field, would in fact be observable.