Ultrafast reset-free integrated polarization tracking enabled by thin-film lithium tantalate
The rapid growth of artificial-intelligence computing demands high-bandwidth and energy-efficient data-center interconnects. Although self-homodyne coherent (SHC) transmission reduces digital signal-processing complexity, its practical deployment is limited by ultrafast state-of-polarization (SOP) fluctuations that destabilize coherent reception. Here we show an ultrafast adaptive polarization controller (APC) based on thin-film lithium tantalate, enabled by the co-design of a photonic chip, a finite-boundary gradient-descent (FBGD) algorithm, and a low-latency real-time control system. The FBGD algorithm incorporates the finite phase boundary directly into the control strategy, enabling reset-free continuous SOP tracking. The implemented APC is validated through both standalone polarization-tracking measurements and a dual-polarization 16-QAM SHC 400-Gbps transmission system. Stable reset-free operation under continuous polarization disturbances is maintained up to 1 Mrad·s⁻¹. These results establish a previously inaccessible operating regime for integrated polarization control and provide a practical route toward ultrafast and reset-free polarization control in coherent optical interconnects and other polarization-sensitive photonic systems.
Authors
- Jinsong Xia (ORCID: https://orcid.org/0000-0002-9650-7839)
- C L Zhang
- Siyu Lu (ORCID: https://orcid.org/0009-0006-3350-1436)
- Miao Deng (ORCID: https://orcid.org/0000-0001-7146-0619)
- Xinyang Yu (ORCID: https://orcid.org/0000-0002-3341-0183)
- Siqi Yan (ORCID: https://orcid.org/0000-0002-5905-3006)
- Chijun Li
- Siyu Chen (ORCID: https://orcid.org/0000-0002-3809-1062)
- Ming Tang (ORCID: https://orcid.org/0000-0001-8669-4186)
- Zheli Liu (ORCID: https://orcid.org/0009-0005-3434-1801)
- Gengqi Yao
- Yuqi Li (ORCID: https://orcid.org/0009-0000-5662-2640)
- Xitao Ji
- Cheng Zeng
- Shiqi Yue
- Yiqi Dai
- Zhou Z
- Zichao Gao (ORCID: https://orcid.org/0009-0001-0721-0807)
- Mingming Zhang
Institutions
- Yangtze Optical Electronic (China) (CN)
- Wuhan National Laboratory for Optoelectronics (CN)
- Hubei University of Education (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Nature Communications
- Published
- 2026-07-17
- DOI
- https://doi.org/10.1038/s41467-026-75732-z
- Primary Topic
- Neural Networks and Reservoir Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China