212 citations · 536 across the 16 of their papers we have counts for
3 papers · 1 filter
Learning how to find targets in the micro-world: The case of intermittent active Brownian particles
Michele Caraglio, Harpreet Kaur, Lukas J. Fiderer +4
Finding the best strategy to minimize the time needed to find a given target is a crucial task both in nature and in reaching decisive technological advances. By considering learni…
Optimal foraging strategies can be learned
Gorka Muñoz-Gil, Andrea López-Incera, Lukas J. Fiderer +1
The foraging behavior of animals is a paradigm of target search in nature. Understanding which foraging strategies are optimal and how animals learn them are central challenges in…
Towards interpretable quantum machine learning via single-photon quantum walks
Fulvio Flamini, Marius Krumm, Lukas J. Fiderer +2
Variational quantum algorithms represent a promising approach to quantum machine learning where classical neural networks are replaced by parametrized quantum circuits. However, bo…