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Computing with Light and Sound

Project description

Reimagining neural networks with light and sound

Today’s digital neural networks power smart systems, but can they become faster, more flexible, and even quantum-ready? To find the answers, the ERC-funded SOUND-PC project is exploring the use of light-sound interactions to build highly reconfigurable optical neural networks. Unlike current optical systems with fixed connections, SOUND-PC harnesses optoacoustics and Brillouin scattering to dynamically route signals within a single waveguide, using light and sound to process data in the frequency, spatial, and time domains. This pioneering approach could pave the way for adaptable photonic computing and even quantum neural networks. By merging nonlinear optics with acoustic control, SOUND-PC aims to unlock faster, smarter, and more energy-efficient computing for complex real-world challenges.

Objective

In contemporary times, intricate challenges, whether they pertain to climate dynamics or economic processes, necessitate the handling of big data and sophisticated intelligent systems. At the core of these systems are digital neural networks that can undergo training. Neural networks based on photonic connections can be an adequate alternative, as they come with a broad bandwidth, high processing speed, and integrability with existing electronic chips. However, so far optical neural networks are mostly based on fixed elements whose connections are difficult to reconfigure.

In my project SOUND-PC, I aim at creating an alternative architecture to control the photonic siblings of neural networks and will pioneer the approach of using light-sound interactions for the implementation of an optical neural network. The basis for this project lays in nonlinear optics, optoacoustics, stimulated Brillouin scattering, and optical computing.

The main goal of SOUND-PC is to experimentally demonstrate several approaches which use the interaction of traveling acoustic waves with light waves for optical neural networks. This concept has the potential to enable a highly reconfigurable computing architecture in one single optical waveguide that can use inputs in the frequency, spatial or time domain with flexible connection of nodes based on optoacoustic interaction. These approaches can potentially be transferred to the quantum domain and contribute to the new emerging field of quantum neural networks.

To achieve the main goal of SOUND-PC, I will harness nonlinear optical effects and optoacoustic interactions to address the following objectives:

1) Optoacoustic computing in the frequency domain
2) In-network computing realized by a distributed optoacoustic approach
3) Mode-processor in the spatial domain via topological-selective Brillouin scattering
4) Feasibility study of transferring optical computing architectures to the quantum domain.

Fields of science (EuroSciVoc)

Keywords

Programme(s)

Topic(s)

Funding Scheme

HORIZON-ERC - HORIZON ERC Grants

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Call for proposal

(opens in new window) ERC-2024-COG

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Host institution

GOTTFRIED WILHELM LEIBNIZ UNIVERSITAET HANNOVER
Net EU contribution
€ 2 657 372,50
Address
WELFENGARTEN 1
30167 Hannover
Germany
Region
Niedersachsen Hannover Region Hannover
Activity type
Higher or Secondary Education Establishments
Links
Total cost
€ 2 657 372,50

Beneficiaries (2)