cond-mat.dis-nn · 2026-08-13 · No. 83

Disordered Systems and Neural Networks, 2026-08-13.

1 new papers in cond-mat.dis-nn. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

1 entries
  1. 01

    Unifying Physical Backpropagation

    Cyrill Bösch, Yigithan Gediz, Hakan Türeci

    cond-mat.dis-nn · cs.ET · cs.LG · physics.optics

    Physical computing systems exploit device dynamics for computation, but their gradient-based optimization is challenging: backpropagation through a digital twin suffers from model-reality gap. On-device gradient computation could resolve this issue, and a handful of theoretical and experimental studies have proposed ways to achieve it. Yet a unifying theory identifying when a physical system can compute the gradient of its own performance has...

    arxiv.org/abs/2608.11585 · PDF

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