ArticleNanophotonics (Berlin, Germany)2024
High-fidelity and polarization-insensitive universal photonic processors fabricated by femtosecond laser writing.
Article in Nanophotonics (Berlin, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed.
- Experimental observation of counter-intuitive features of photonic bunching.Light, science & applications · 2026Article
- Experimental data reuploading with provable enhanced learning capabilities.Science advances · 2026Article
- Amplitude- and Phase-Programmable Dual-Color Photonic Chip for High-Contrast Structured Illumination Microscopy.ACS photonics · 2026Article
- Beyond quantum linear optics with adaptive boson sampling.Nature photonics · 2026Article
- Experimental quantum-enhanced kernel-based machine learning on a photonic processor.Nature photonics · 2025Article
- Programmable nano-optics and photonics.Nanophotonics (Berlin, Germany) · 2024Article
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7 authors.
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Abstract
Universal photonic processors (UPPs) are fully programmable photonic integrated circuits that are key components in quantum photonics. With this work, we present a novel platform for the realization of low-loss, low-power, and high-fidelity UPPs based on femtosecond laser writing (FLW) and compatible with a large wavelength spectrum. In fact, we demonstrate different UPPs, tailored for operation at 785 nm and 1550 nm, providing similar high-level performances. Moreover, we show that standard calibration techniques applied to FLW-UPPs result in Haar random polarization-insensitive photonic transformations implemented with average amplitude fidelity as high as 0.9979 at 785 nm (0.9970 at 1550 nm), with the possibility of increasing the fidelity over 0.9990 thanks to novel optimization algorithms. Besides being the first demonstrations of polarization-insensitive UPPs, these devices show the highest level of control and reconfigurability ever reported for a FLW circuit. These qualities will be greatly beneficial to applications in quantum information processing.
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