Adonis Bogris

University of West Attica

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Dimitris Syvridis

National and Kapodistrian University of Athens

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Charis Mesaritakis

University of the Aegean

Periklis Petropoulos

University of Southampton

Apostolos Argyris

Active Fiber Systems (Germany)

Stavros Deligiannidis

University of West Attica

David J. Richardson

University of Southampton

Kostas Sozos

University of West Attica

Hercules Simos

University of West Attica

P. Labeye

Commissariat à l'Énergie Atomique et aux Énergies Alternatives

George Sarantoglou

University of the Aegean

Cooperative Institutions

National and Kapodistrian University of Athens

University of Southampton

National Technical University of Athens

Commissariat à l'Énergie Atomique et aux Énergies Alternatives

Centre National de la Recherche Scientifique

University of the Aegean

University of Patras

University College Cork

Institute of Electrical and Electronics Engineers

Technological Educational Institute of Athens

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Performance comparison of advanced optical modulation formats in wavelength division multiplexing (WDM) systems employing G.655 fibers

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2006)

Ioannis Neokosmidis Thomas Kamalakis Athanasios Theocharidis Adonis Bogris Thomas Sphicopoulos

This paper studies the non-linear tolerance of several modulation formats in a four-span WDM system (8x10Gb/s) using low chromatic dispersion fiber. The narrow spacing between the channels (50 GHz) makes FWM to be the most detrimental effect experienced in each span made of G.655 fiber (80 km, D=2ps/nm.km) compensated by 0.8 km of DCF. A particular attention to the Q factor computed in the simulations enables a fair comparison between IMDD (Intensity Modulated Direct Detection) and phase modulated formats. It is shown that the various amplitude modulation alternatives result in more or less the same performance. Phase modulation schemes drastically increase the system performance leading to an increase of the Q-factor by almost 3dB.

Modulation (music)

10.1117/12.647789

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Citations (0)

Noise characteristics of dual-pump fiber-optic parametric amplifiers

Journal of Lightwave Technology (2005)

Adonis Bogris Dimitris Syvridis Per Kylemark Peter A. Andrekson

The noise figure (NF) properties of an undepleted and lossless dual-pump fiber-optic parametric amplifier (FOPA) are theoretically and numerically investigated. The theoretical study takes into account the noise characteristics of the two pump waves that are considered to have parallel polarization states for gain maximization. It is shown that noisy pump waves degrade the amplifier's NF, especially when the amplifier is operating at high gain values and when the input signal is high. The theoretical observations are validated by Monte Carlo numerical simulations, and the agreement between them is excellent. Finally, a comparative study concerning the noise characteristics of dual-pump and single-pump FOPAs is performed.

Y-factor

Noise temperature

Parametric oscillator

10.1109/jlt.2005.853140

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Citations (35)

High-Speed All-Optical First- and Second-Order Differentiators Based on Cross-Phase Modulation in Fibers

Journal of Lightwave Technology (2008)

Pantelis Velanas Adonis Bogris Apostolos Argyris Dimitris Syvridis

An ultrafast all-optical differentiator generating the first- and the second-order temporal derivative of the intensity of optical signals is presented in this paper. Differentiation is obtained via an optical fiber that plays the role of an optical phase modulator, an optical bandpass filter and a photodetector. The operation of the proposed device is theoretically studied in order to highlight significant parameters that affect the performance of the differentiator, namely the filter transfer function, the power of the propagating waves and the fiber characteristics (length and nonlinear coefficient). The comparison between the numerically calculated derivatives and the theoretically expected ones is performed by estimating the correlation coefficient between them. According to the numerical analysis, high correlation coefficients can be achieved in certain operating regimes. The same device can be utilized in order to produce ultrawideband (UWB) impulse signals. Electrical monocycle or doublet pulses can be obtained at the output of the photodetector (PD) using the proper tunable optical filter. Experimental verification of the theoretically predicted and numerically calculated results is finally presented for high bit-rate signals.

Differentiator

Impulse response

Optical transfer function

Optical power

10.1109/jlt.2008.923930

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Citations (80)

Reservoir Computing based on Mutually Injected Phase Modulated Lasers: A monolithic integration approach suitable for short-reach communication systems

Optical Fiber Communication Conference (OFC) 2022 (2021)

Kostas Sozos Charis Mesaritakis Adonis Bogris

We propose a reservoir computing system consisting of two mutually coupled phase modulated lasers. The scheme can be monolithic integrated and extends the reach of 25Gbaud PAM-4 signals up to 55 km in the C-band.

Reservoir computing

10.1364/ofc.2021.w6a.4

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Reservoir Computing Based on Mutually Injected Phase Modulated Semiconductor Lasers as a Monolithic Integrated Hardware Accelerator

IEEE Journal of Quantum Electronics (2021)

Kostas Sozos Charis Mesaritakis Adonis Bogris

In this paper we propose and numerically study a neuromorphic computing scheme that applies delay-based reservoir computing in a laser system consisting of two mutually coupled phase modulated lasers. The scheme can be monolithic integrated in a straightforward manner and alleviates the need for external optical injection, as the data can be directly applied on the on-chip phase modulator placed between the two lasers. The scheme also offers the benefit of increasing the nodes compared to a reservoir computing system using either one laser under feedback or laser under feedback and optical injection. Numerical simulations assess the performance of the integrated reservoir computing system in dispersion compensation tasks in short-reach optical communication systems. We numerically demonstrate that the proposed platform can recover severely distorted 25 Gbaud PAM-4 signals for transmission distances exceeding 50km and outperform other competing delay-based reservoir computing systems relying on optical feedback. The proposed scheme, thanks to its compactness and simplicity, can play the role of a monolithic integrated hardware accelerator in a wide range of application requiring high speed real time processing.

Reservoir computing

Optical computing

Neuromorphic engineering

10.1109/jqe.2021.3104855

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Citations (11)

Earthquake location based on Distributed Acoustic Sensing (DAS) as a seismic array

Physics of The Earth and Planetary Interiors (2023)

Konstantinos Lentas Daniel Bowden Νikolaos S. Melis Andreas Fichtner Maria Koroni

Slowness

Seismic array

10.1016/j.pepi.2023.107109

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Intensity Noise Properties of Midinfrared Injection Locked Quantum Cascade Lasers: II. Experiments

IEEE Journal of Quantum Electronics (2014)

Carsten Juretzka Hercules Simos Adonis Bogris Dimitris Syvridis W. Elsäβer

We present experimental investigations of the intensity noise properties of injection-locked midinfrared emitting quantum cascade lasers. Following the theoretical approach by Simos et al. , the injection locking is realized below and near the threshold of the free running slave laser, resulting in an efficient technique to achieve low-noise operation. We find that below the threshold, the locking characteristics as locking range, shape and bandwidth, are different in comparison with those above threshold. In addition, we also investigate injection locking into longitudinal side modes of the slave laser apart by several longitudinal mode hops, and observe similar characteristics, however, with the potential to achieve higher relative intensity noise suppression. The measurements are confirmed by additional numerical simulations with a new model, which considers the multimode spectrum of the slave laser and the spectral profile of the material gain. Under the actual experimental conditions, a reduction of the relative intensity noise of the slave laser of up to 10 dB (above threshold) and up to 20 dB (below threshold) in comparison to the free running slave laser noise level is achieved.

Relative intensity noise

Intensity

Injection locking

Quantum cascade laser

10.1109/jqe.2014.2366992

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Citations (28)

Photonic Neuromorphic Accelerator Combined with an Event-Based Neuromorphic Camera for High-Speed Object Classification

Aris Tsirigotis Ioannis Tsilikas Kostas Sozos Adonis Bogris Charis Mesaritakis

In this work, we demonstrate the impact of an unconventional convolutional photonic accelerator, based on an optical spectrum slicing (OSS) [1], on the classification accuracy of objects, generated through a high-frame rate neuromorphic event-based camera [2]. The experimental setup is depicted in Fig. 1a. It consists of a 5 mW-632 nm-LED source, two objective lenses with NA=0.65 that concentrate the light beam into a $100\ \mu \mathrm{m}\times 100\ \mu \mathrm{m}$ channel. In our experiments, the targeted objects consist of test spheres, of different diameters (12, 16, and $20 \mu{m}$ ), used in aqua solutions. A pump regulated the sphere's speed to 0.8 m/s. The objects were recorded by a 10 kframe/s capable neuromorphic camera, with a temporal resolution of $1\ \mu \mathrm{s}$ . The camera detects pixel's contrast changes (events), similar to biological systems [2]. The recorded events were exported into 1 kframes/sec videos through a synthetic frame generator software, resulting to 2988 images per particle [2]. Images were post-processed using only noise reduction by frame subtraction and image cropping so as to reduce data volume to $100\times 100$ pixels.

Neuromorphic engineering

Frame rate

10.1109/cleo/europe-eqec57999.2023.10232077

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Photonic Neuromorphic Accelerator for Convolutional Neural Networks based on an Integrated Reconfigurable Mesh

arXiv (Cornell University) (2024)

Aris Tsirigotis Gerge Sarantoglou Stavros Deligiannidis Erica Sánchez Ana Gutiérrez

In this work, we present and experimentally validate a passive photonic-integrated neuromorphic accelerator that uses a hardware-friendly optical spectrum slicing technique through a reconfigurable silicon photonic mesh. The proposed scheme acts as an analogue convolutional engine, enabling information preprocessing in the optical domain, dimensionality reduction and extraction of spatio-temporal features. Numerical results demonstrate that utilizing only 7 passive photonic nodes, critical modules of a digital convolutional neural network can be replaced. As a result, a 98.6% accuracy on the MNIST dataset was achieved, with a power consumption reduction of at least 26% compared to digital CNNs. Experimental results confirm these findings, achieving 97.7% accuracy with only 3 passive nodes.

Neuromorphic engineering

10.48550/arxiv.2405.06434

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Citations (1)

Photonic Integrated Device for Chaos Applications in Communications

Physical Review Letters (2008)

Apostolos Argyris Michael Hamacher K.E. Chlouverakis Adonis Bogris Dimitris Syvridis

A novel photonic monolithic integrated device consisting of a distributed feedback laser, a passive resonator, and active elements that control the optical feedback properties has been designed, fabricated, and evaluated as a compact potential chaotic emitter in optical communications. Under diverse operating parameters, the device behaves in different modes providing stable solutions, periodic states, and broadband chaotic dynamics. Chaos data analysis is performed in order to quantify the complexity and chaoticity of the experimental reconstructed attractors by applying nonlinear noise filtering.

10.1103/physrevlett.100.194101

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Citations (177)