Compensation of nonlinear distortion in coherent optical OFDM systems using a MIMO deep neural network-based equalizer.

A novel nonlinear equalizer based on a multiple-input multiple-output (MIMO) deep neural network (DNN) is proposed and experimentally demonstrated for compensation of inter-subcarrier nonlinearities in a 40 Gb/s coherent optical orthogonal frequency division multiplexing system. Experimental results reveal that MIMO-DNN can extend the power margin by 4 dB at 2000 km of standard single-mode fiber transmission when compared to linear compensation or conventional single-input single-output DNN. It is also found that MIMO-DNN outperforms digital back propagation by increasing up to 1 dB the effective-factor and reducing by a factor of three the computational cost.

Ultra-broadband two-pump optical parametric amplifier in tellurite waveguides with engineered dispersion.

The capacity of communication networks may be significantly improved by simply enhancing the optical amplifier bandwidth. This paper presents a numerical investigation of an ultra-broadband, low-ripple, two-pump-optical parametric amplifier (2P-OPA) that employs a tellurite glass buried-channel type nano-waveguide as nonlinear medium. The nano-waveguide was designed as a 25-cm-long Archimedean spiral that occupies a footprint of only ~2.

All-optical cryptography of M-QAM formats by using two-dimensional spectrally sliced keys.

There has been an increased interest in enhancing the security of optical communications systems and networks. All-optical cryptography methods have been considered as an alternative to electronic data encryption. In this paper we propose and verify the use of a novel all-optical scheme based on cryptographic keys applied on the spectral signal for encryption of the M-QAM modulated data with bit rates of up to 200 gigabits per second.