  A neural network is quantized for the mitigation of nonlinear and components
distortions in a 16-QAM 9x50km dual-polarization fiber transmission experiment.
Post-training additive power-of-two quantization at 6 bits incurs a negligible
Q-factor penalty. At 5 bits, the model size is reduced by 85%, with 0.8 dB
penalty.
