Method for predicting reaction barrier energy based on quantum full-connection neural network algorithm
A neural network, fully connected technology, applied in the field of predicting reaction potential barrier energy based on quantum fully connected neural network algorithm, can solve the problems of complexity, consume a lot of time and resources, cannot meet large-scale screening of catalysts, etc., to simplify the calculation process, Satisfy large-scale screening of suitable effects
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[0025] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be described in detail below in conjunction with the embodiments and accompanying drawings.
[0026]
[0027] figure 1 It is a flowchart of a method for predicting reaction barrier energy based on a quantum fully connected neural network algorithm in an embodiment of the present invention.
[0028] Such as figure 1 As shown, the method for predicting the reaction barrier energy based on the quantum fully connected neural network algorithm provided in this embodiment includes the following steps:
[0029] Step S1, obtaining the electron density input vector of the reactant state.
[0030] In this embodiment, the reactant state is to transform the initial state into an unbiased state, which is the lowest computational basis state for n qubit circuits. The electron density input vector of the reactant is concatenat...
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