VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.
Photonics and Neuromorphic Computing
Last Updated: 2026-06-01 11:33:19
Abstract
This course explores photonic computing, where light replaces electrons for faster, more energy-efficient computation. Photonic computers could revolutionize AI and quantum information, enabling advances in combinatorial optimization (e.g., prime factorization), deep neural network training, and quantum communication and computing through deterministic quantum technologies and algorithms.
Objective
Photonic integrated circuits (modulators, detectors, light sources, electronic co-integration) Photonic neural networks (devices, nonlinearity, architectures) Photonic tensor cores Optical memory and in-memory computing Online learning and in-situ training Ising model and Ising machines Quantum neural networks Applications (cognitive radio, edge computing, fiber transmission)
Content
Lecture 1: Overview of photonics, AI, and neuromorphic computing Lecture 2: Enabling photonic technologies Lecture 3: In-memory computing Lecture 4: Photonic Ising machines Lecture 5: Photonic tensor cores and GPUs Lecture 6: Quantum photonic neural networks Lecture 7: Quantum photonic machine learning and tomography Lecture 8: Student in-class presentations Lecture 9: Student in-class presentations
Resources
Learning Materials (Links)
- Moodle course
- Moodle-Kurs / Moodle course
General Information
- Language
- English
- Levels
- DR , MSC
Examination
- Type
- ungraded semester performance
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Photonics and Neuromorphic Computing
Block Course
Mondays, Wednesdays and Fridays from 13:30 to 15:30
|
|
20 h semesterly |
Offered In
-
-
-
Doktorat Physik (Mehr Informationen unter: )
-
Vertiefung Fachwissen (Achtung: Die hier angegebene Auswahl an Lehrveranstaltungen ist UNVOLLSTÄNDIG.)
-