深圳国际量子研究院李正达研究员团队与北京大学、山东大学、南开大学联合开展研究，在光量子平台上实验验证了Krylov影子层析方案，成功实现了量子Fisher信息的精确估计1。该研究成果已于2026年9月9日发表1。
该方案在相同测量资源消耗的条件下，相比现有方法获得了更低的平均绝对误差1。研究团队通过相位估计实验进一步证明，该方案能够准确预测由量子Cramér-Rao界限所规定的参数估计精度极限1。实验工作依托支持六量子比特的光量子平台完成1。论文由深圳国际量子研究院作为第一完成单位，张倩茜和丁齐鸣为共同第一作者，张大剑、袁骁和李正达为共同通讯作者1。
Researchers at the Shenzhen Institute for Quantum Science and Engineering, led by Dr. Li Zhengda, have collaborated with teams from Peking University, Shandong University, and Nankai University to experimentally verify the Krylov shadow tomography scheme on a photonic quantum platform 1. The research demonstrates a new approach to achieving more accurate quantum measurement by enabling precise estimation of quantum Fisher information 1.
The experimental validation was conducted using a six-qubit optical quantum platform 1. The Krylov shadow tomography scheme outperformed existing methods by achieving lower average absolute error using the same measurement resources 1. Phase estimation experiments confirmed that the approach can accurately predict the parameter estimation precision limit defined by the quantum Cramér-Rao bound 1. The joint first authors of the study are Zhang Qianxi and Ding Qiming, with Zhang Dajian, Yuan Xiao, and Li Zhengda serving as corresponding authors 1. The findings were published on September 9, 2026 1.
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