Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Research output
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Comparison of Models for Training Optical Matrix Multipliers in Neuromorphic PICs
Cem, A., Yan, S., de Moura, U. C., Ding, Y., Zibar, D. & Da Ros, F., 2022, Proceedings of OFC 2022. Optical Society of America (OSA), 3 p. M2G.5Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Open AccessFile27 Downloads (Pure) -
Digital synchronization for continuous-variable quantum key distribution
Chin, H. M., Jain, N., Andersen, U. L., Zibar, D. & Gehring, T., Oct 2022, In: Quantum Science and Technology. 7, 4, 8 p., 045006.Research output: Contribution to journal › Journal article › Research › peer-review
File8 Downloads (Pure) -
Editorial Introduction to JSTQE Special Issue on Machine Learning in Photonic Communication and Measurement Systems
Zibar, D., Turitsyn, S., Jalali, B., Kojima, K. & Furdek, M., 1 Aug 2022, In: IEEE Journal of Selected Topics in Quantum Electronics. 28, 4, p. 3-3 9851897.Research output: Contribution to journal › Journal article › Research › peer-review
Open AccessFile2 Downloads (Pure) -
Effect of filter shape on excess noise performance in continuous variable quantum key distribution with Gaussian modulation
Chin, H-M., Jain, N., Zibar, D., Gehring, T. & Andersen, U. L., 2022, (Submitted) In: arXiv.Research output: Contribution to journal › Journal article › Research › peer-review
File211 Downloads (Pure) -
End-to-end learning for fiber-optic communication systems
Jovanovic, O., Da Ros, F., Yankov, M. P. & Zibar, D., 2022, Machine Learning for Future Fiber-Optic Communication Systems. Elsevier, p. 115-139Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Research › peer-review
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Machine Learning techniques for characterization of ultra-low noise lasers
Razumov, A., Zibar, D., Da Ros, F., Pedersen, J. E. & Varming, P.
01/03/2022 → 28/02/2025
Project: PhD
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Integrated Photonic Circuits for All-Optical Reservoir Computing
Giron Castro, B. J., Da Ros, F. & Zibar, D.
01/01/2022 → 31/12/2024
Project: PhD
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Optoelectronic equalization of short-reach IM/DD communication
Osadchuk, Y., Da Ros, F. & Zibar, D.
15/11/2021 → 28/11/2024
Project: PhD
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Machine learning techniques for communication over the fiber-optic channel
Zhang, L., Zibar, D. & Da Ros, F.
01/10/2021 → 30/09/2024
Project: PhD
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Noise characterization of lasers and frequency combs using machine learning
Heebøll, H. R., Zibar, D., Da Ros, F. & Galili, M.
01/10/2021 → 30/09/2024
Project: PhD
Activities
- 1 Conference presentations
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Digital Coherent Detection of Multi-Gigabit 16-QAM signals at 40 GHz Carrier Frequency using Photonic Downconversion
Darko Zibar (Speaker)
1 Jan 2009Activity: Talks and presentations › Conference presentations