Abstract |
Quantum entanglement is the cornerstone of quantum communication and computation. The generation and distribution of entangled quantum states are fundamental to ensure seamless communications across various network nodes. Yet traditional optical elements like waveplates and polarization beam splitters are usually bulky and heavy and do not meet the requirements for miniaturizing and integrating information systems. Metasurfaces offer a solution to resolve these challenges. Here, we present our studies on polarization transformation, distribution, entangle- ment, and multiplexing with optical metasurfaces, which significantly miniaturize optical systems. By introducing geometrical-scaling-induced (GSI) phase modulations, we can generate different types of polarization states simultaneously from a single metasurface. Further, we demonstrate that the entangled photon pairs may interact with metasurface building blocks with the GSI phase and transform into two-photon entangled states with the desired polarization. Two metasurfaces, each simultaneously distributing polarization-entangled photons to spatially separated multiple channels M (N), accomplish M × N channels of entanglement distribution and transformation. We also show a strategy to break the fundamental limit of polarization multiplexing capacity of meta-surfaces by introducing the engineered noise to the precise solution of Jones matrix elements. The conventional restriction of polarization multiplexing roots from the dimension constraint of the Jones matrix. This approach suggests a new paradigm for high-capacity optical displays, information encryption, and data storage. References [1] Y. J. Gao, Z. Wang, Y. Jiang, R. W. Peng, Z. Wang, D. Qi, R. Fan, W. Tang, and Mu Wang, Phys. Rev. Lett. 129, 023601 (2022). [2] Y.J. Gao, X. Xiong, Z. Wang, F. Chen, R.W. Peng, and M. Wang, Phys. Rev. X 10, 031035 (2020). [3] Y.-J. Gao, Z. Wang, W. Tang, X. Xiong, Z. Wang, F. Chen, R.W. Peng, and M. Wang, Phys. Rev. B 104, 125419 (2021). [4] B. Xiong, Yu Liu, Y. Xu, L. Deng, C.W. Chen, J. Wang, R.W. Peng, Y. Lai, Y. M. Liu, M. Wang,, Science 379, 294 (2023). [5] HC Chu, X Xiong, YJ Gao, J Luo, H Jing, CY Li, RW Peng, M. Wang, Y Lai, Science Advances 7, eabj0935 (2021). [6] H. Chu, X. Xiong, N. X. Fang, F. Wu, Runqi Jia, Ruwen Peng, Mu Wang, Yun Lai, Science Advances 10, eadm8061 (2024). |