2 papers
quant-ph2024
Transfer learning in predicting quantum many-body dynamics: from physical observables to entanglement entropy
Philipp Schmidt, Florian Marquardt, Naeimeh Mohseni
Deep neural networks have demonstrated remarkable efficacy in extracting meaningful representations from complex datasets. This has propelled representation learning as a compellin…
cs.HC2024
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…