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News/A Coherence Law for Trainability in Noisy Equivariant Quantum Neural Networks
arxiv
PublishedJuly 1, 2026 at 4:00 AM
—neutral

A Coherence Law for Trainability in Noisy Equivariant Quantum Neural Networks

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arXiv:2606.30688v1 Announce Type: cross Abstract: Symmetry provides a quantum neural network structure, but on its own it does not keep the network trainable once noise is present. We ask which physical quantity decides whether the gradients of an equivariant circuit survive decoherence, and we answ

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