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Found 4 papers, 4 papers with code
Virtual Reality for Understanding Artificial-Intelligence-driven Scientific Discovery with an Application in Quantum Optics
Thereby, we can manually discover new generalizations of AI-discoveries as well as new understanding in experimental quantum optics.
Forecasting high-impact research topics via machine learning on evolving knowledge graphs
We envision that the ability to predict the impact of new ideas will be a crucial component of future artificial muses that can inspire new impactful and interesting scientific ideas.
Deep Quantum Graph Dreaming: Deciphering Neural Network Insights into Quantum Experiments
Interestingly, we find that, in the first layers, the neural network identifies simple properties, while in the deeper ones, it can identify complex quantum structures and even quantum entanglement.
Learning Interpretable Representations of Entanglement in Quantum Optics Experiments using Deep Generative Models
The complex relationship between the setup structure of a quantum experiment and its entanglement properties is essential to fundamental research in quantum optics but is difficult to intuitively understand.
