arxiv
PublishedSeptember 2, 2026 at 4:00 AM
Towards Provable and Scalable Training of Quantized Neural Networks with Ising Optimization
Publisher summary· verbatim
arXiv:2506.18240v5 Announce Type: replace-cross Abstract: Training quantized neural networks remains fundamentally challenging due to non-convex loss landscapes and discrete parameter spaces. We introduce an exact Quadratic Constrained Binary Optimization (QCBO) framework with provable guarantees. W
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