G
Guy Verschaffelt
Researcher at Vrije Universiteit Brussel
Publications - 185
Citations - 2494
Guy Verschaffelt is an academic researcher from Vrije Universiteit Brussel. The author has contributed to research in topics: Semiconductor laser theory & Laser. The author has an hindex of 29, co-authored 180 publications receiving 2153 citations. Previous affiliations of Guy Verschaffelt include University of Bristol & VU University Amsterdam.
Papers
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Effect of photon-energy-dependent loss and gain mechanisms on polarization switching in vertical-cavity surface-emitting lasers
B. Ryvkin,Krassimir Panajotov,A. Georgievski,Jan Danckaert,Michael Peeters,Guy Verschaffelt,Hugo Thienpont,Irina Veretennicoff +7 more
TL;DR: In this paper, the effect of the photon energy and temperature dependence of both the gain and the total losses inside the cavity was analyzed to understand the polarization behavior of vertical-cavity surface-emitting lasers.
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Fast photonic information processing using semiconductor lasers with delayed optical feedback: Role of phase dynamics
TL;DR: Insight into the phase dynamics of optical injection in a semiconductor laser provides a clear understanding of the system performance at different pump current levels, even below solitary laser threshold.
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A poor man's coherent Ising machine based on opto-electronic feedback systems for solving optimization problems.
TL;DR: A design based on opto-electronic feedback systems that avoids using nonlinear optical materials, improving the prospects for scalability and reliable operation is presented.
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Fast random bits generation based on a single chaotic semiconductor ring laser
Romain Modeste Nguimdo,Guy Verschaffelt,Jan Danckaert,Xaveer Leijtens,Jeroen Bolk,Guy Van der Sande +5 more
TL;DR: It is demonstrated that in a single chaotic semiconductor ring laser (SRL), it is possible to generate true random bits with a bit rate up to 40 Gb/s from a chaos bandwidth of ≈ 2 GHz, thanks to the device ability of lasing in two directional modes and the fact that the two mode signals have low correlations.
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Simultaneous Computation of Two Independent Tasks Using Reservoir Computing Based on a Single Photonic Nonlinear Node With Optical Feedback
TL;DR: A photonic delay-based reservoir computing system, which processes, in parallel, two independent computational tasks even when the two tasks have unrelated input streams, is numerically demonstrated.