arXiv AI August 11, 2026 By Jianlong Lu, Hanqiu Peng, Hongrui Zhang, Ying Chen

Transformer-Based Neural Quantum Digital Twins for Many-Body Spectral Reconstruction and Adaptive Quantum-Annealing Schedule Design

arXiv:2505. 15662v3 Announce Type: replace-cross Abstract: We introduce Transformer-based Neural Quantum Digital Twins (Tx-NQDTs) to reconstruct the low-energy spectral evolution of many-body quantum systems along quantum-annealing paths, including ground- and first-excited-state energies, spectral gaps, and transition matrix elements, at efficient computational cost.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

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