Bio-inspired Evolution Strategies & Quantum Optics


This research pole deals with the optimisation of optical devices and spectroscopies by advanced optimisation techniques and by exploiting the quantum nature of light and entangled photons. We also investigate fundamental aspects of optics and quantum mechanics. We develop different types of heuristics, analytical models and optimisation strategies, including genetic algorithms and derivative free optimisation, that are useful in a wide range of interdisciplinary applications. In particular, we study the evolution of biological systems using genetic algorithms.

Keywords: Genetic Algorithms, Optical Engineering, Non-Linear Optics, Quantum Optics, Weak Measurements

Contact: Alexandre Mayer , Yves Caudano and Karine Van Doninck

Relevant references:

Mayer, L. Gaouyat, D. Nicolay, T. Carletti and O. Deparis, Multi-objective genetic algorithm for the optimization of a flat-plate solar thermal collector, Optics Express 22, A1641 (2014)

Mayer and A. Bay, Optimization by a genetic algorithm of the light-extraction efficiency of a GaN light-emitting diode, Journal of Optics 17, 025002 (2015)

Mayer, J. Muller, A. Herman and O. Deparis, Optimized absorption of solar radiations in nano-structured thin films of crystalline silicon via a genetic algorithm, Proc. of SPIE, Active Photonic Materials VII, edited by G.S. Subramania et S. Foteinopoulou (SPIE, 2015), vol. 9546, p. 95461N-01

Caudano, Quelques apports essentiels de l’optique quantique à l’investigation de la nature de la lumière, Revue des Questions Scientifiques 186, 459 (2015)

Cormann, M. Remy, B. Kolaric and Y. Caudano, Revealing geometric phases in modular and weak values with a quantum eraser, Phys. Rev. A 93, 042124 (2016)