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In-orbit operation of a programmable quantum photonic processor
arXiv
Authors: Simon Steiner, Peter Schiansky, Antonius Scherer, Riccardo Albiero, Mathias Dragosits, Zhenghao Yin, Martin Mauser, Patrik Zah\'alka, Raphael Pimenta, Crist\'obal Melo, C\'edric L\'eonard, Abhiram Rajan, Niki Di Giano, Antonino Caime, Roberto Osellame, Francesco Ceccarelli, Daniel Mart\'inez, Tobias Guggemos, Iris Agresti, Philip Walther
Year
2026
Paper ID
78506
Status
Preprint
Abstract Read
~2 min
Abstract Words
194
Citations
N/A
Abstract
Quantum technologies promise computational capabilities beyond the reach of classical systems. A forward-looking application lies in satellite missions, which increasingly depend on onboard computing under stringent constraints on size, weight and power. Quantum photonics is particularly attractive here: photon interference can enhance the machine-learning models needed to process large onboard data volumes, at fixed hardware resources. However, harnessing this interference requires more than generating single photons, as they must remain mutually indistinguishable: a fragile condition that is hard to maintain within the technically demanding framework of a space mission, which includes a rocket launch, strong thermal drifts, and radiation. This is why quantum states of light, though already generated and transmitted in orbit for secure communication and fundamental tests, have never been used as a computational resource. Here, we report a programmable quantum photonic platform operating on a nanosatellite, processing two photons in a six-mode universal integrated circuit. By programming distinct unitaries and tuning the photons into indistinguishability, we observe two-photon interference, establishing the on-board generation, manipulation and detection of non-classical light. This extends space-based technologies towards in-orbit quantum-assisted computing, for instance local encoding of Earth-observation data, or nodes in a distributed quantum network.
Why This Paper Matters
- This paper contributes to the Quantum Networks research area in the Quantum Articles archive.
- It adds a 2026 reference point for readers tracking recent quantum research.
- Quantum technologies promise computational capabilities beyond the reach of classical systems.
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