Dr. Krishan Harkhoe Profile

Dr. Krishan Harkhoe

Consultant at Addestino

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Author

Publications (5)

Proceedings Article | 26 May 2022 Poster + Paper

Impact of phase modulation on the performance of photonic delay-based reservoir computing with semiconductor lasers

Ian Bauwens, Krishan Harkhoe, Peter Bienstman, Guy Verschaffelt, Guy Van der Sande

Proceedings Volume 12143, 121430L (2022) https://doi.org/10.1117/12.2626778

KEYWORDS: Semiconductor lasers, Modulators, Phase modulation, Modulation, Optical computing, Photonics systems

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Proceedings Article | 2 September 2021 Presentation + Paper

Time-multiplexed optical systems for reservoir computing and coherent Ising machines

Guy Van der Sande, Fabian Böhm, Krishan Harkhoe, Jaël Pauwels, Peter Bienstman, Thomas Van Vaerenbergh, Guy Verschaffelt

Proceedings Volume 11804, 118041Q (2021) https://doi.org/10.1117/12.2594700

KEYWORDS: Semiconductor lasers, Computing systems, Photonics, Photonic integrated circuits, Feedback loops, Integrated optics, Nonlinear dynamics, Artificial neural networks

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Proceedings Article | 2 March 2020 Presentation + Paper

Integrated photonic delay-lasers for reservoir computing

Guy Van der Sande, Krishan Harkhoe, Andrew Katumba, Peter Bienstman, Guy Verschaffelt

Proceedings Volume 11274, 112740D (2020) https://doi.org/10.1117/12.2550576

KEYWORDS: Semiconductor lasers, Photonics, Photonic integrated circuits, Feedback loops

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Proceedings Article | 24 February 2020 Paper

Time-multiplexed photonic reservoir computing

Guy Van der Sande, Krishan Harkhoe, Jaël Pauwels, Guy Verschaffelt

Proceedings Volume 11299, 112990A (2020) https://doi.org/10.1117/12.2544006

KEYWORDS: Semiconductor lasers, Optical computing, Nonlinear optics, Computing systems, Photonic integrated circuits, Integrated optics

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Proceedings Article | 21 May 2018 Paper

Dual-mode semiconductor lasers in reservoir computing

Krishan Harkhoe, Guy Van der Sande

Proceedings Volume 10689, 106890B (2018) https://doi.org/10.1117/12.2307328

KEYWORDS: Semiconductor lasers, Neural networks, Brain, Data processing, Computing systems, Energy efficiency, Artificial neural networks, Machine learning, Nonlinear dynamics

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