Detecting Complex-Energy Braiding Topology in a Dissipative Atomic Simulator with Transformer-Based Geometric Tomography
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The Transformer-based machine learning framework effectively captures the topology-geometry interplay in energy band braiding. We validate this by constructing tunable dissipative two-level systems and extracting their complex eigenenergies. This repository provides the experimental fitting results based on BEC.
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Zenodo创建时间：
2026-02-09
