journal article·2024-03

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, Guangwei Hu

Advanced Materials· Volume 36· Issue 9
Publisher page

Abstract

Abstract 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 and 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.
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Research context

OpenAlex topics: Neural Networks and Reservoir Computing · Photonic and Optical Devices · Optical Network Technologies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Advanced Microscopy and Instrumentation Research Center School of Instrumentation Science and Engineering Harbin Institute of Technology Harbin 150080 China

School of Electrical and Electronic Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Singapore

Department of Microwave Engineering Harbin Institute of Technology Harbin 150001 China

LEME UPL Univ Paris Nanterre Ville d'Avray F92410 France

Funding

National Natural Science Foundation of China · National Key Research and Development Program of China · Nanyang Technological University

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