CORDIS Project
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This project develops symbolic artificial intelligence to analyze complex phenomena in quantum physics, focusing on identifying hidden topological orders. It aims to enhance the interpretability of machine learning models while providing insights into topological materials, potentially advancing both theoretical and ex…
Artificial intelligence (AI) offers novel methodologies to unravel complex physical phenomena.
However, most machine learning models lack transparency in their decision-making processes.
In this proposal, we aim to develop a symbolic AI as a tool to reveal hidden topological orders in quantum physics.
To this end, an AI-assisted symbolic regression method will be studied.
We focus on three main objectives: (i) machine learning topological phases with experimental data; (ii) uncovering hidden non…
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