High-performance quantum frequency conversion using programmable unpoled nanophotonic waveguides

• URL: http://arxiv.org/abs/2510.16696v1
• Date: Sun, 19 Oct 2025 03:31:46 GMT
• Title: High-performance quantum frequency conversion using programmable unpoled nanophotonic waveguides
• Authors: Jierui Hu, Hao Yuan, Joshua Akin, A. K. M. Naziul Haque, Yunlei Zhao, Kejie Fang,
• Abstract summary: We demonstrate efficient, low-noise, and bidirectional QFC between the telecom (1550-nm) and visible (780-nm) bands using unpoled in gallium phosphide (InGaP) $chi(2)$ nanophotonic waveguides.<n>With added noise well below the single-photon level, our platform preserves the quantum coherence and entanglement of the input photons.
• Score: 5.35543035500223
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Quantum frequency conversion (QFC) is essential for interfacing quantum systems operating at different wavelengths and for realizing scalable quantum networks. Despite extensive progress, achieving QFC with simultaneous high efficiency, low pump power, minimal added noise, broad bandwidth, and pump-wavelength flexibility remains a major challenge. Here, we demonstrate efficient, low-noise, and bidirectional QFC between the telecom (1550-nm) and visible (780-nm) bands using unpoled indium gallium phosphide (InGaP) $\chi^{(2)}$ nanophotonic waveguides, eliminating the need for a long-wavelength pump. Leveraging the large nonlinear susceptibility of InGaP together with programmable modal-phase-matching control, we obtain record-low pump power (20 mW) -- an order of magnitude lower than that in previous demonstrations using integrated thin-film waveguides -- with record-high loss-inclusive normalized conversion efficiency among non-resonant QFC implementations. With added noise well below the single-photon level, our platform preserves the quantum coherence and entanglement of the input photons. These results mark a significant advance in integrated nonlinear photonics for high-performance QFC, facilitating the development of versatile and scalable quantum networks.

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