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Konstantinos Vyrsokinos

Publications and source records attributed to Konstantinos Vyrsokinos.

3 recordsLinked to original sources

Baudrate- and Reach-Flexible All-Optical Equalization with a Co-Packaged Photonic Reservoir and Receiver

Intensity-modulation direct-detection links must support increasing baudrates and transmission distances while operating under stringent power and cost constraints. However, as data rates and reaches increase, chromatic dispersion induces stronger inter-symbol interference and, after direct detection, frequency-selective fading, thus requiring increasingly powerful equalization. In conventional receivers, this translates into digital equalization whose complexity scales unfavorably with data rate. Photonic-domain equalization offers a hardware-based alternative that operates naturally at line rate and mitigates frequency fading. However, prior demonstrations were not readily adaptable for different rate and/or reach operation. In this paper, we experimentally demonstrate all-optical equalization across 10-46 Gbaud and 10-250 km SSMF in the C-band enabled solely through retraining of the readout layer, achieving up to four orders of magnitude BER improvement over standard DSP equalization. The demonstrator comprises a 16-node spatially multiplexed reservoir, programmable on-chip readout, and co-packaged receiver front-end. To our knowledge, this is the first co-packaged photonic reservoir receiver and the first demonstration of simultaneous baudrate- and reach-flexible equalization using a fixed-topology integrated photonic circuit.

physics.optics↗

All-Optical High-speed Programmable Nonlinear Activation Functions using a Fabry-Perot Laser

The threads of photonics are eagerly awaited to redefine the future of neuromorphic data processing, especially as the computing-intensive artificial intelligence models become an unavoidable part of our everyday lives. Still, there is much to be improved within the domain of photonic nonlinear activation functions, as the programmable, all-optical, energy-efficient nonlinearities remain beyond the grasp of today's state of the art. In this paper, we address the issue at hand and propose a novel approach in the realization of high-performing all-optical photonic activations. Through simulations and experiments, we show that Fabry-Perot laser diodes (FP-LDs) exhibit richness and high programmability of their nonlinear response to input optical pulses with widths as low as 25 ps. We demonstrate a variety of sigmoid-like and inverted PReLU-like trends to be used as all-optical activation functions in photonic neural networks, testing their performance in stringent, real-life training scenarios with randomized data patterns at repetition rates up to 10 GHz. The programmability of activations is shown using a multitude of experimental operating parameters, among which we highlight the power variation of an additional continuous wave laser, injected into the FP-LD, enriching our approach with all-optical control of all-optical activations. With very low static power consumption of our active element, we achieve a record-breaking energy draw on the order of pJ to hundreds of fJ per nonlinear operation.

physics.optics↗