Photonic Quantum Processor for Novel Applications
We present a quantum photonic processor featuring 32 modes, with the potential for further scalability. The system demonstrates robustness against extrinsic phase noise, accounting for temperature and acoustic fluctuations. Our initial objective is to tailor this processor for quantum boson sampling (QBS) as a standard benchmark. Upon successful validation, the platform will be ready to provide cutting-edge solutions for strategic industrial problems.
Authors
- Fabian Steinlechner (ORCID: https://orcid.org/0000-0003-0122-1182)
- C. Méndez (ORCID: https://orcid.org/0000-0001-9032-5842)
- Thomas Müller-Wirts
- Frank Setzpfandt (ORCID: https://orcid.org/0000-0002-7919-8181)
- Varun Raj Kaipalath
- Oskar Kohout
- Carlos Sevilla-Gutiérrez (ORCID: https://orcid.org/0000-0002-7107-5697)
- Dmitriy Mitin
- Reinhard Geiß
- Michael Reibe (ORCID: https://orcid.org/0009-0003-7445-9201)
- Umair Ashraf Mir
- Idoia Ugarte Olcoz (ORCID: https://orcid.org/0009-0003-0498-1950)
- Monika Monika
- Luis Javier González Martin Del Campo
- Volodymyr Zubariev
- Marius Leyendecker
Institutions
- Fraunhofer Institute for Applied Optics and Precision Engineering (DE)
- Hannoversche Informationstechnologien (Germany) (DE)
Publication Details
- Published
- 2025-05-20
- DOI
- https://doi.org/10.1109/pn66844.2025.11097157
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00