GHZ态作为参考系对准的近最优态
GHZ states as near-optimal states for reference frame alignment
AI总结:
针对未知旋转下两坐标系对准问题,基于量子Fisher信息证明GHZ态是近最优态,其优势在于易于实验制备且提供了具体测量方法,并验证了其对常见噪声的鲁棒性。
摘要:
设Alice和Bob拥有的两个坐标系之间通过未知旋转$R\in SO(3)$相互关联。Alice向Bob发送相同态$|ψ_0\ra$,Bob对接收态进行测量并确定旋转$R$。Bob的任务是通过最佳测量来估计旋转$R$的这些参数。基于量子Fisher信息,我们证明Greenberger-Horne-Zeilinger(GHZ)态是此任务的近最优态。与先前提出的最优态相比,GHZ态的优势在于它们在实验上更容易制备,更重要的是,我们展示了具体的测量方法,使Bob能够确定旋转$R$。我们还研究了这些态在保持其编码信息方面,对常见噪声源的鲁棒性。
英文摘要:
Let two coordinate systems, in possession of Alice and Bob, be related to each other by an unknown rotation $R\in SO(3)$. Alice is to send identical states $|ψ_0\ra$ to Bob who will make measurements on the received state and will determine the rotation $R$. The task of Bob is to estimate these parameters of the rotation $R$ by the best possible measurements. Based on the Quantum Fisher Information, we show that Greenberger-Horne-Zeilinger (GHZ) states are near optimal states for this task. Compared to the optimal states proposed before, the advantage of $GHZ$ states are that they can be more easily prepared experimentally, and more importantly, we show concrete measurements which will allow Bob to determine the rotation $R$. We also study the robustness of these states in keeping their encoded information, against common sources of noises.
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