| State Classification via a Random-Walk-Based Quantum Neural Network |
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| 作者姓名： | 王露吉 林嘉懿 吴盛俊 |
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| 作者单位： | 1. Institute for Brain Sciences and Kuang Yaming Honors School, Nanjing University;2. School of Physics, Nanjing University |
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| 基金项目： | supported by the National Key R&D Program of China (Grant No. 2017YFA0303703)；;the National Natural Science Foundation of China (Grant No. 12175104)； |
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| 摘 要： | In quantum information technology,crucial information is regularly encoded in different quantum states.To extract information,the identification of one state from the others is inevitable.However,if the states are nonorthogonal and unknown,this task will become awesomely tricky,especially when our resources are also limited.Here,we introduce the quantum stochastic neural network(QSNN),and show its capability to accomplish the binary discrimination of quantum states.After a handful of optimizing ...
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