Universal super-resolution framework for imaging of quantum dots
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arXiv
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| Autori principali: | , , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866912633436766208 |
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| author | Vašinka, Dominik Lee, Jaewon Stalker, Charlie Mitryakhin, Victor Solovev, Ivan Stephan, Sven Höfling, Sven Eilenberger, Falk Tongay, Seth Ariel Schneider, Christian Ježek, Miroslav Predojević, Ana |
| author_facet | Vašinka, Dominik Lee, Jaewon Stalker, Charlie Mitryakhin, Victor Solovev, Ivan Stephan, Sven Höfling, Sven Eilenberger, Falk Tongay, Seth Ariel Schneider, Christian Ježek, Miroslav Predojević, Ana |
| contents | We present a universal deep-learning method that reconstructs super-resolved images of quantum emitters from a single camera frame measurement. Trained on physics-based synthetic data spanning diverse point-spread functions, aberrations, and noise, the network generalizes across experimental conditions without system-specific retraining. We validate the approach on low- and high-density In(Ga)As quantum dots and strain-induced dots in 2D monolayer WSe$_2$, resolving overlapping emitters even under low signal-to-noise and inhomogeneous backgrounds. By eliminating calibration and iterative acquisitions, this single-shot strategy enables rapid, robust super-resolution for nanoscale characterization and quantum photonic device fabrication. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_06076 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Universal super-resolution framework for imaging of quantum dots Vašinka, Dominik Lee, Jaewon Stalker, Charlie Mitryakhin, Victor Solovev, Ivan Stephan, Sven Höfling, Sven Eilenberger, Falk Tongay, Seth Ariel Schneider, Christian Ježek, Miroslav Predojević, Ana Quantum Physics Mesoscale and Nanoscale Physics Optics We present a universal deep-learning method that reconstructs super-resolved images of quantum emitters from a single camera frame measurement. Trained on physics-based synthetic data spanning diverse point-spread functions, aberrations, and noise, the network generalizes across experimental conditions without system-specific retraining. We validate the approach on low- and high-density In(Ga)As quantum dots and strain-induced dots in 2D monolayer WSe$_2$, resolving overlapping emitters even under low signal-to-noise and inhomogeneous backgrounds. By eliminating calibration and iterative acquisitions, this single-shot strategy enables rapid, robust super-resolution for nanoscale characterization and quantum photonic device fabrication. |
| title | Universal super-resolution framework for imaging of quantum dots |
| topic | Quantum Physics Mesoscale and Nanoscale Physics Optics |
| url | https://arxiv.org/abs/2510.06076 |