Resource-efficient photonic quantum neural network
| Reference number | |
| Coordinator | Kungliga Tekniska Högskolan - Skolan f teknikvetenskap KTH Institutionen f fysik |
| Funding from Vinnova | SEK 150 000 |
| Project duration | November 2024 - May 2025 |
| Status | Ongoing |
| Venture | Emerging technology solutions |
| Call | Innovative collaborations with Singapore in quantum or synthetic biology |
Important results from the project
The project successfully established the foundation for a photonic quantum neural network using entangled photons for efficient data encoding. Key outcomes include a 12-mode programmable photonic chip design, a custom control system, and a high-brightness entangled photon source. All initial goals were met, and a strategic partnership with CQT in Singapore was formed. The project strengthens Sweden’s position in quantum technology and prepares for practical implementation in Stage 2.
Expected long term effects
In the long term, the project is expected to contribute to the development of energy-efficient, quantum-enhanced AI systems with applications in telecommunications, optimization, and machine learning. By combining integrated photonics with quantum information science, the project strengthens Sweden’s international competitiveness and lays the groundwork for future commercialization and research collaboration in quantum technology.
Approach and implementation
The project followed a structured plan focused on chip design, system calibration, and entangled photon source development. All key activities were implemented as intended and on schedule. The collaboration with CQT worked well and enhanced the theoretical development. No major delays occurred, and the technical milestones were met. The plan proved appropriate, with no significant external disruptions or unexpected issues affecting progress.