2026-10-13T11:04:27Z https://api.figshare.com/v2/oai

oai:figshare.com:article/34046844 2026-10-01T16:01:02Z category_37476 portal_1023 item_type_12 month_year_10_2026

Multi-Parameter Error Mitigation in Parametric Down-Conversion via SU(1, 1) Composite Segmentation Nastaran Ragerdi Kashani (25157340) Rouhollah Karimzadeh (6881522) Physics (arXiv) physics.optics (arXiv) quant-ph (arXiv) Spontaneous parametric down-conversion is a primary resource for generating non-classical light, yet phase mismatch fluctuations from temperature drift, angular misalignment, and domain fabrication errors reduce pair-generation efficiency and phase stability. Here, we analyze error mitigation in spontaneous parametric down-conversion using composite segmentation governed by SU(1, 1) spatial dynamics. We show that odd spatial Fourier harmonics preserve error-cancellation flatness with pair-generation rates scaling asymptotically as $m^{-2}$, while a coordinate-dilation symmetry provides a design prescription for translating configurations across distinct operating wavelengths (405, 532, and 775 nm). Furthermore, an open-loop thermo-optic bias counteracts off-axis angular drift to broaden the 90%-efficiency angular acceptance half-width by 3.46x, and up to two missing poling domains are tolerated with no numerically resolved loss in relative conversion efficiency. Across a 5$^\circ$C thermal window, the generated pairs sustain a relative conversion efficiency of $η\ge 0.954$ with the modeled phase-coherence metric remaining above 0.95, providing a structurally robust approach for entangled photon generation without requiring continuous closed-loop feedback stabilization. 2026-09-29T00:00:00Z Text Preprint 10.48550/arXiv.2609.37514 https://figshare.com/articles/preprint/Multi-Parameter_Error_Mitigation_in_Parametric_Down-Conversion_via_SU_1_1_Composite_Segmentation/34046844 CC0