Quantum image processing and recognition

Project funded by Swedish Governmental Agency for Innovation Systems (Vinnova) (Project grant), grant 2023-01903_Vinnova. Participating organisations named by the source: Ericsson AB. Funded amount: SEK 10,000,000, as stated by the source. Runs 2023-10-02 to 2025-12-31. Keywords: Naturvetenskap, Natural Sciences, Data- och informationsvetenskap (Datateknik), Computer and Information Sciences, Systemvetenskap, informationssystem och informatik. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2025-12-04); national funding data, not CORDIS. Abstract given by the source: Purpose and goal: The core idea of this project is to design, manufacture and test a novel image processor that uses quantum resources to encode a digital image into a diffraction pattern and is able to classify previously unseen images. Expected results and effects: By using diffraction patterns to classify images, we reduce the amount of data storage and increase the ML processing performance. At the same time, by using quantum transmitters and receivers we ensure that we use the minimum amount of energy per information bit. Approach and implementation: The project is structured around the four main deliverables to reduce complexity and overhead. The main deliverables of the project are: D1. Database design and implementation. D2. ML model training and evaluation. D3. Chipset design and simulation. D4. Chipset manufacturing and testing.

Original source.

Source: OpenAIRE Graph: projects of national funders, OpenAIRE, from the project data of Swedish Governmental Agency for Innovation Systems (Vinnova). Retrieved 2026-10-28. Licence: Creative Commons Attribution 4.0 (OpenAIRE Graph). Selected metadata, adapted presentation; the publisher's record is authoritative. No endorsement by the source is implied. Licence: Creative Commons Attribution 4.0 (CC BY 4.0).

AI-assisted summary: The project "Quantum image processing and recognition" is funded by Vinnova with a grant of SEK 10,000,000, running from October 2, 2023, to December 31, 2025. It aims to develop a quantum image processor for efficient image classification using diffraction patterns. Suggested technology pillar: computing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.