Semi-device-independent certification of high-dimensional quantum channels

• URL: http://arxiv.org/abs/2602.07823v1
• Date: Sun, 08 Feb 2026 05:05:04 GMT
• Title: Semi-device-independent certification of high-dimensional quantum channels
• Authors: Mengyan Li, Yanning Jia, Fenzhuo Guo, Haifeng Dong, Sujuan Qin, Fei Gao,
• Abstract summary: Existing certification schemes often rely on fully trusted internal devices.<n>We propose a semi-device-independent framework for certifying channel properties directly from observed statistics.<n>Lower bounds on the entanglement fidelity are obtained that are compatible with either the full set of observed statistics or a single witness value.
• Score: 3.9794752987799527
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Certifying high-dimensional quantum channels is essential for ensuring the reliability of quantum communication protocols. Existing certification schemes often rely on fully trusted internal devices, which is difficult to achieve in realistic scenarios. Here, we propose a semi-device-independent framework for certifying channel properties directly from observed statistics, assuming only that the system dimension is known. By explicitly incorporating the full set of structural constraints inherent to Choi states, our approach exploits the Choi-Jamiołkowski isomorphism for rigorous certification of quantum channels. The entanglement dimensionality of quantum channels is first certified by introducing a witness and numerically determining its Schmidt-number-dependent bounds. This certification method reproduces known analytical benchmarks and is applied to dephasing and depolarizing noise channels, thereby confirming its validity. To provide a more complete assessment of channel performance, the entanglement fidelity of quantum channels is also certified using a hierarchy of semidefinite programming relaxations based on localizing matrices. Lower bounds on the entanglement fidelity are obtained that are compatible with either the full set of observed statistics or a single witness value.

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