Resource-efficient photonic quantum neural network

Project funded by Swedish Governmental Agency for Innovation Systems (Vinnova) (Project grant), grant 2024-03550_Vinnova. Participating organisations named by the source: KTH, Royal Institute of Technology. Funded amount: SEK 150,000, as stated by the source. Runs 2024-11-08 to 2025-05-31. Keywords: Oklassificerat, Unclassified. Source: OpenAIRE Graph, from the funder's project data (collected by OpenAIRE on 2025-12-06); national funding data, not CORDIS. Abstract given by the source: Purpose and goal: In Stage 1, the primary focus will be establishing a strong collaboration between KTH Royal Institute of Technology and Chalmers University of Technology (CTH) in Sweden and the Centre for Quantum Technologies (CQT) in Singapore. A short-term stay in Singapore, followed by follow-up work in Sweden, will be dedicated to developing a prototype of a programmable universal photonic circuit designed for resource efficient operation in a larger Hilbert space. Expected results and effects: Our vision for Stage 1 achievements include: (1) Develop a prototype of a programmable photonic circuit designed for resource efficient operation; (2) Explore the feasibility of encoding information using multi-photon quantum states, enhancing resource efficiency in P-QNNs; (3) Investigate and new methods for characterizing photonic circuits; (4) Establish a strong collaboration framework between KTH and CQT, including regular exchanges of researchers and shared resources. Approach and implementation: WP1 Preparation: First, arrange a start-up meeting with CQT and negotiate with Vinnova about the visit; WP2 Short visit to CQT: A short-term visit to Singapore and formulate the idea of resource-efficient P-QNNs and potential applications in real-life; WP3: Follow up work: Work on the novel architecture P-QNNs design, validate the encoding scheme with simulation and optimize entanglement source. Success will be measured by key milestones, such as the completion of the GDS file design.

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 "Resource-efficient photonic quantum neural network" is funded by Vinnova with SEK 150,000, running from November 8, 2024, to May 31, 2025. It involves collaboration between KTH Royal Institute of Technology and Chalmers University of Technology. Suggested technology pillar: computing. Generated by AI from the public source text; it may contain errors and the original source is authoritative.