NEUROMORPHIC QUANTUMPHOTONICS

NEWS

International Workshop on Physical Computing, October 29 - November 6, 2022 in Erice, Sicily/Italy

Prof. Dr. Antonio Calà Lesina (Leibniz University Hannover) and Prof. Dr. Wolfram Pernice (Heidelberg University) invited a fantastic goup of speakers to a picturesque medieval town in Sicily. The workshop theme is driven by the idea that physical concepts, functional materials and devices could be used to run computations directly, in contrast to using logic gates. There are several emerging themes and implementations of this concept, which we would like to cover in depth.

 

Please register before October 2nd, 2022.

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PROJECTS

Munich Quantum Valley

The HEI-group develops fast electo-optic modulators operating at a 698 nm and 317 nm wavelength to generate optimal signals for the consortium. The final goal is to fabricate a network of modulators with a modulation bandwidth of 5 GHz and a modulation depth of 60 dB, thus reaching unprecedented control. The device will be modular, accessible via fiber-coupling and wire-bonding to a PCB. The design will provide high spatial and temporal control allowing for the manipulation of hundreds of atoms on a single-atom precision.

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SPINNING

The project partners of SPINNING are working on a design that features unprecedented connectivity and flexible configurations. In addition, the quantum processor is able to operate with low cooling requirements and thus may be implemented in close proximity to classical computer systems.

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PHOENICS

By switching to the optical domain and nanophotonic circuits PHOENICS will set a new paradigm in artificial intelligence and neuromorphic computing.

The PHOENICS architecture is based on the hybrid integration approach of three different chip platforms: optical input generation in silicon nitride signal encoding and modulation in indium-phosphidneuromorphic processing and detection in silicon. 

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22.02.2022 Scientific talk at Deutsche Physikalische Gesellschaft

A photonic machine story – new computing architectures for AI

Funding