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Metasurface‐Based Optical Logic Operators Driven by Diffractive Neural Networks
Journal article   Peer reviewed

Metasurface‐Based Optical Logic Operators Driven by Diffractive Neural Networks

Xumin Ding, Zihan Zhao, Peng Xie, Dayu Cai, Fanyi Meng, Cong Wang, Qun Wu, Jian Liu, Shah Nawaz Burokur and Guangwei Hu
Advanced materials (Weinheim), Vol.36(9), pp.e2308993-n/a
01/03/2024
PMID: 38032696

Abstract

all‐optical diffractive neural network metasurface multiplexed optical quantum computing
In this paper, a novel optical logic operator based on the multifunctional metasurface driven by all‐optical diffractive neural network is reported, which can perform four principal quantum logic operations (Pauli‐X, Pauli‐Y, Pauli‐Z, and Hadamard gates). The two ground states |0⟩ $|0 \rangle $and |1⟩ $|1 \rangle $  are characterized by two orthogonal linear polarization states. The proposed spatial‐ and polarization‐multiplexed all‐optical diffractive neural network only contains a hidden layer physically mapped as a metasurface with simple and compact unit cells, which dramatically reduces the volume and computing resources required for the system. The designed optical quantum operator is proven to achieve high fidelities for all four quantum logical gates, up to 99.96% numerically and 99.88% experimentally. The solution will facilitate the construction of large‐scale optical quantum computing systems and scalable optical quantum devices. An ultra‐compact optical quantum logic operator based on multifunctional metasurfaces is implemented under a spatial‐ and polarization‐multiplexed strategy. Such a novel program for optical quantum computing is experimentally validated to achieve high fidelities (99.88%) for all four classical quantum logical gates at ultra‐high operating speeds.

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