868 citations · 9.4k across the 68 of their papers we have counts for
68 papers
Virtual Reality for Understanding Artificial-Intelligence-driven Scientific Discovery with an Application in Quantum Optics
Philipp Schmidt, Sören Arlt, Carlos Ruiz-Gonzalez +3
Generative Artificial Intelligence (AI) models can propose solutions to scientific problems beyond human capability. To truly make conceptual contributions, researchers need to be…
Forecasting high-impact research topics via machine learning on evolving knowledge graphs
Xuemei Gu, Mario Krenn
The exponential growth in scientific publications poses a severe challenge for human researchers. It forces attention to more narrow sub-fields, which makes it challenging to disco…
Digital Discovery of interferometric Gravitational Wave Detectors
Mario Krenn, Yehonathan Drori, Rana X Adhikari
Gravitational waves, detected a century after they were first theorized, are spacetime distortions caused by some of the most cataclysmic events in the universe, including black ho…
Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments
Tareq Jaouni, Sören Arlt, Carlos Ruiz-Gonzalez +3
Despite their promise to facilitate new scientific discoveries, the opaqueness of neural networks presents a challenge in interpreting the logic behind their findings. Here, we use…
XLuminA: An Auto-differentiating Discovery Framework for Super-Resolution Microscopy
Carla Rodríguez, Sören Arlt, Leonhard Möckl +1
Driven by human ingenuity and creativity, the discovery of super-resolution techniques, which circumvent the classical diffraction limit of light, represent a leap in optical micro…
Experimental Solutions to the High-Dimensional Mean King's Problem
Tareq Jaouni, Xiaoqin Gao, Sören Arlt +2
In 1987, Vaidman, Aharanov, and Albert put forward a puzzle called the Mean King's Problem (MKP) that can be solved only by harnessing quantum entanglement. Prime-powered solutions…