A coherence law based on the readout-visible aligned coherence rate (a Rayleigh quotient of the noise generator) predicts gradient survival in noisy U(1)-equivariant QNNs, with simulations confirming R²=0.979 and a special channel test showing no loss where predicted.
Nguyen, Louis Schatzki, Paolo Braccia, Michael Ragone, Patrick J
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
fields
quant-ph 3roles
background 1polarities
background 1representative citing papers
Fragment classification is efficiently learnable by quantum neural networks under suitable conditions but resists known classical dequantization techniques.