Method of stimulating a conditional quantum master equation in a quantum transport process by a recurrent neural network

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United States of America

PATENT NO 12254380
APP PUB NO 20240046129A1
SERIAL NO

17432198

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The disclosure claims a method of stimulating a conditional quantum master equation in a quantum transport process by a recurrent neural network, comprising the following steps of: establishing a recurrent neural network which is a long short term memory network (LSTM), wherein the LSTM comprises TLSTM cells arranged in chronological order, and each LSTM cell has an input value xt and an output value ht, and there is a parameter (W, b) in the LSTM cell; replacing the input value xt with a shot noise spectrum S(ω) of the current obtained according to the conditional quantum master equation; replacing the output value ht with a trace of density matrices in the conditional quantum master equation; and replacing the parameter (W, b) with a connection between density matrices in the conditional quantum master equation at imminent moments.

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Patent Owner(s)

  • UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Hu, Yong Chengdu, CN 114 1355
Li, Xiaoyu Chengdu, CN 88 634
Lu, Junyi Chengdu, CN 1 0
Yang, Qing Chengdu, CN 496 9882
Zhu, Qinsheng Chengdu, CN 1 0

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