首页|Ultrahigh-fidelity spatial mode quantum gates in high-dimensional space by diffractive deep neural networks

Ultrahigh-fidelity spatial mode quantum gates in high-dimensional space by diffractive deep neural networks

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While the spatial mode of photons is widely used in quantum cryptography,its potential for quantum computation remains largely unexplored.Here,we showcase the use of the multi-dimensional spatial mode of photons to construct a series of high-dimensional quantum gates,achieved through the use of diffractive deep neural networks(D2NNs).Notably,our gates demonstrate high fidelity of up to 99.6(2)％,as characterized by quantum process tomography.Our experimental implementation of these gates involves a programmable array of phase layers in a compact and scalable device,capable of performing complex operations or even quantum circuits.We also demonstrate the efficacy of the D2NN gates by successfully implementing the Deutsch algorithm and propose an intelligent deployment protocol that involves self-configuration and self-optimization.Moreover,we conduct a comparative analysis of the D2NN gate's performance to the wave-front matching approach.Overall,our work opens a door for designing specific quantum gates using deep learning,with the potential for reliable execution of quantum computation.

Qianke Wang、Jun Liu、Dawei Lyu、Jian Wang

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Wuhan National Laboratory for Optoelectronics and School of Optical and Electronic Information,Huazhong University of Science and Technology,Wuhan 430074 Hubei,China

Optics Valley Laboratory,Wuhan 430074 Hubei,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaNatural Science Foundation of Hubei Province of ChinaNatural Science Foundation of Hubei Province of ChinaKey R&D Program of Guangdong ProvinceKey R&D Program of Hubei Province of ChinaKey R&D Program of Hubei Province of ChinaInnovation Project of Optics Valley Laboratory

621255036226116038862001182623712022023AFA0282023AFB8142018B0303250022021BAA0242020BAB001OVL2021BG004

2024

10.1038/s41377-023-01336-7

光:科学与应用(英文版)
中国科学院长春光学精密机械与物理研究所

光:科学与应用(英文版)

CSTPCD
ISSN：2095-5545
年,卷(期)：2024.13(1)
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