Lake Como Machine Learning Photonics
- Date: 15-19 March 2021
- Place: Virtually and Online due to COVID-19
SUMMARY
The school brings together experts in emerging photonic technologies, machine learning techniques, and fundamental physics who will share with young researchers their knowledge and interdisciplinary approaches for understanding and designing complex photonic systems and their practical applications. In the new era of artificial intelligence, algorithms and computational interfaces are broadly emerging as novel tools to do scientific research. The paradigms of machine learning also inspire interpretations and methodologies, in both theories and experiments. Nonlinear, quantum and bio-photonics, as well as optical communications, are surprisingly influenced by these new ideas. The summer school is aimed to explore machine learning applications in the specific fields of nonlinear optics and photonics.
The areas covered include, but are not limited to: machine learning methods and complexity of optical communication systems, including topics such as the nonlinear Fourier transform and transmission over multimode fibres; complexity in quantum systems emulated in photonics (including optical computing); complexity of emerging novel materials, device and components such as micro-resonators and plasmonic nanostructures. Importantly, the complexity in bio-medical photonic applications will be also considered as a high priority topic.
FINAL PROFGAM
Final Program (all times are in Central European Time)
Monday, March 15
Morning session, Moderators: Claudio Conti (9:00-11:15) and Sergei Turitsyn (11:15-12:45)
9:00-9:15 Welcome by Claudio Conti, Roberto Morandotti, Sergey Turitsyn and Stefan Wabnitz
9:15-10:15 Aurelio Uncini, Sapienza Università di Roma, Italy, “Deep neural networks: new trends and perspective for big-data applications I”
10:15-11:15 Claudio Conti, Sapienza and CNR-ISC, Italy: “Ising Machine by waves”
11:15-11:45 Virtual coffee break
11:45-12:45 David Saad, Aston University, UK: “Machine learning beyond the hype – principled methods for photonics”
12:45-14:00 Virtual lunch
Afternoon session, Moderators: Claudio Conti (14:00-15:00) and Stefan Wabnitz (15:00-16:00)
14:00-15:00 Aurelio Uncini, Sapienza Università di Roma, Italy: “Deep Neural Networks: New trends and perspective for big-data applications II”
15:00-16:00 Nathan Kutz, University of Washington, USA: “Machine learning for physics discovery and control in optical systems I”
Tuesday, March 16
Morning session, Moderator: Stefan Wabnitz
9:00-10:10 P.T. Lau, The Hong Kong Poly University, Hong Kong: “Machine learning applications in optical Communications and Networks”
10:00-11:00 Miguel C. Soriano, IFISC (CSIC-UIB), Spain: “Ultrafast photonic reservoir computing: From fundamental properties to real-world applications”
11:00-11:30 Virtual coffee break
11:30-12:30 Benjamin Wetzel, XLIM France: “Nonlinear guided optics & applications: from ultrashort pulse processing to multidimensional control”
12:30-14:00 Virtual lunch
Afternoon session, Moderator: Benjamin Wetzel
14:00-15:00 Demetri Psaltis, EPFL, Switzerland: “Machine learning for imaging in complex optical media”
14:00-15:00 Darko Zibar, DTU, Denmark: “Advancing classical and quantum photonic system design using machine learning I”
16:00-16:30 Virtual coffee break
16:30-17:30 Shuangyi Yan, University of Bristol, UK “Machine-learning applications in future optical networks”
17:30-18:15 Nathan Kutz, University of Washington, USA: “Machine learning for physics discovery and control in optical systems II”
Wednesday, March 17
Morning session, Moderator: Stefan Wabnitz
9:00-10:00 Lorenzo Pavesi, Università di Trento, Italy, “Is it possible to make living neurons and optical microresonators compute together? I”
10:00-11:00 Demetri Psaltis, EPFL, Switzerland: “Optical machine learning using nonlinear propagation in multi-mode fibers”
11:00-11:30 Virtual coffee break
11:30-12:30 Stephane Barland, Institut Non-Linéaire de Nice, France: “Effective low-dimensional dynamics of a mean-field coupled network of slow-fast spiking lasers”
12:30-14:00 Virtual lunch
Afternoon session, Moderator: Roberto Morandotti
14:00-15:00 Goery Genty, Tampere University, Finland, “Machine learning analysis of instabilities and coherent nonlinear dynamics in fibre-optic systems”
15:00-16:00 Darko Zibar, DTU, Denmark: “Advancing classical and quantum photonic system design using machine learning II”
16:00-16:30 Virtual coffee break
16:30-18:00 Kathy Lüdge, TU Berlin, Germany: “Reservoir computing with laser networks: Performance, Memory capacity and optimization via Eigenvalue analysis”
Thursday, March 18
Morning session, Moderator: Sergei Turitsyn
9:00-10:00 Claudio Conti, Sapienza and CNR-ISC, Italy, “Extreme Learning Machine by waves”
10:00-11:00 Daniel Brunner, Institut Femto, France: “How to do reservoir computing with photonic systems”
11:00-11:30 Virtual coffee break
11:30-12:30 Mathieu Chagnon, Nokia Bell Labs, Germany: “Reinventing communication methods with machine learning: from bits-in to bits-out”
12:30-14:00 Virtual lunch
Afternoon session, Moderator: Claudio Conti
14:00-15:00 Serge Massar, ULB Bruxelles, Belgium: “The mathematical basis for reservoir computing”
15:00-16:00 Lorenzo Pavesi, Università di Trento, Italy, “Is it possible to make living neurons and optical microresonators compute together? II”
Friday, March 19
Morning session, Moderator: Claudio Conti
9:00-10:00 Diederik Wiersma, LENS Lab, Italy, “Photonic microrobotics and responsive materials for AI”
10:00-11:00 Daniel Brunner, Institut Femto, France: “3D photonic integration for scalable photonic neural networks”
11:00-11:30 Virtual coffee break
11:30-12:30 Stephane Barland, Institut Non-Linéaire de Nice, France:“ Convolutional neural networks for self-mixing interferometry”
12:30-12:45 Claudio Conti, Roberto Morandotti, Sergei Turitsyn, and Stefan Wabnitz: Summary and conclusions
