7 citations · 17 across the 5 of their papers we have counts for
5 papers
Deep Bayesian Experimental Design for Quantum Many-Body Systems
Leopoldo Sarra, Florian Marquardt
Bayesian experimental design is a technique that allows to efficiently select measurements to characterize a physical system by maximizing the expected information gain. Recent dev…
Discovering Quantum Circuit Components with Program Synthesis
Leopoldo Sarra, Kevin Ellis, Florian Marquardt
Despite rapid progress in the field, it is still challenging to discover new ways to take advantage of quantum computation: all quantum algorithms need to be designed by hand, and…
Unlocking the Power of Representations in Long-term Novelty-based Exploration
Alaa Saade, Steven Kapturowski, Daniele Calandriello +6
We introduce Robust Exploration via Clustering-based Online Density Estimation (RECODE), a non-parametric method for novelty-based exploration that estimates visitation counts for…
Renormalized Mutual Information for Artificial Scientific Discovery
Leopoldo Sarra, Andrea Aiello, Florian Marquardt
We derive a well-defined renormalized version of mutual information that allows to estimate the dependence between continuous random variables in the important case when one is det…
Experimental device-independent tests of quantum channels
Iris Agresti, Davide Poderini, Gonzalo Carvacho +5
Quantum tomography is currently the mainly employed method to assess the information of a system and therefore plays a fundamental role when trying to characterize the action of a…