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Ying-Jer Kao

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#machine learning Preprint Sep 2026

Do Quantum Models Scale Like LLMs?

In this work, we study the neural scaling laws of RydbergGPT, an autoregressive transformer model trained on qubit projective measurement data gathered from interacting Rydberg atom arrays. The quantum system is known to exhibit a finite-size remnant of a critical point as the laser detuning parameter is varied. We fin...

David S. Berman, Ying-Jer Kao, R. Melko et al. · 0 citations