Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A silicon photonics feed-forward neural network for nonlinear distortion
  mitigation in an optical link   We design and model a single-layer, passive, all-optical silicon photonics
neural network to mitigate optical link nonlinearities. The network nodes are
formed by silicon microring resonators whose transfer function has been
experimentally measured. Both the transmitted amplitude and phase maps of the
nonlinear response of the microrings are parametrized as a function of the
wavelength and of the signal power to form tunable activation functions of the
single nodes in the complex valued network. Training of the network is achieved
by a particle swarm optimizer which selects the complex weights and the
activation functions. We demonstrate that a single feed-forward layer with a
single node perceptron is effective in compensating linear and nonlinear
distortions over a broad range of signal-to-noise-ratio and propagation
lengths. We propose to implement this simple neuronal network as an optical
link transparent layer to correct signal distortions.

26
The categories of this paper are: bayes-an
29
The categories of this paper are: funct-an
17
The categories of this paper are: q-fin
0
The categories of this paper are: hep-ph
14
The categories of this paper are: math-ph
7
The categories of this paper are: hep-th
9
The categories of this paper are: nlin
30
The categories of this paper are: q-alg
20
The categories of this paper are: acc-phys
27
The categories of this paper are: comp-gas
25
The categories of this paper are: patt-sol
13
The categories of this paper are: quant-ph
31
The categories of this paper are: ao-sci
11
The categories of this paper are: hep-lat
15
The categories of this paper are: nucl-ex
16
The categories of this paper are: stat