Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Real-Time Machine Learning Based Fiber-Induced Nonlinearity Compensation
  in Energy-Efficient Coherent Optical Networks   We experimentally demonstrate the first field-programmable gate-array-based
real-time fiber nonlinearity compensator (NLC) using sparse K-means++ machine
learning clustering in an energy-efficient 40-Gb/s 16-quadrature amplitude
modulated self-coherent optical system. Our real-time NLC shows up to 3 dB
improvement in Q-factor compared to linear equalization at 50 km of
transmission.

9
The categories of this paper are: nlin
12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
24
The categories of this paper are: dg-ga
20
The categories of this paper are: acc-phys
36
The categories of this paper are: cmp-lg
23
The categories of this paper are: solv-int
28
The categories of this paper are: alg-geom
33
The categories of this paper are: plasm-ph
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol
13
The categories of this paper are: quant-ph
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
27
The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat