Real-Time Prediction of Solid-State Quantum Multi-Emitter Systems with Deep Learning
Spectral jumps in quantum emitters are detrimental to scalable quantum architecture. We analyze spectral jumps in multiple single-photon emitters based on the SiN platform and predict them using a deep-learning algorithm.
Authors
- Benjamin J. Lawrie (ORCID: https://orcid.org/0000-0003-1431-066X)
- Sean Borneman (ORCID: https://orcid.org/0000-0003-0396-4342)
- Alexander V. Kildishev (ORCID: https://orcid.org/0000-0002-8382-8422)
- Alexander A. Puretzky (ORCID: https://orcid.org/0000-0002-9996-4429)
- Pranshu Maan
- Yuheng Chen (ORCID: https://orcid.org/0009-0008-2896-6831)
- Vladimir M. Shalaev
- Alexandra Boltasseva
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1364/cleo_at.2025.jps200_111
- Primary Topic
- Advancements in Semiconductor Devices and Circuit Design
- Type
- article
- Field-Weighted Citation Impact
- 0.00