Artificial neuron construction method based on quantum circuit

Abstract

The invention relates to an artificial neuron construction method based on a quantum circuit, which belongs to the field of quantum machine learning, and comprises the following steps of: firstly, respectively coding the input and the weight of a neuron to a quantum calculation ground state, and then acting a controlled unitary gate containing a neuron weight value on an input quantum state; and finally, neuronal output is obtained through quantum phase estimation. The quantum neuron model for realizing the scheme is mainly composed of three parts of quantum circuits, wherein the first part is an input and weight interaction quantum circuit, and the circuit can well realize the function that neurons receive input values from different connection strengths; the second part is a phase estimation quantum circuit, and the circuit realizes the function of a neuron activation function; and the third part is a weight updating quantum circuit, and the circuit converts updating of the weight value into updating of each quantum bit state representing the weight sub-state. The method has the advantage of quantum information processing.

Description

technical field [0001] The invention belongs to the field of quantum machine learning, in particular to the field of quantum neural networks, and specifically relates to an artificial neuron construction method based on quantum circuits. Background technique [0002] In the past two decades, machine learning has risen rapidly and has become the cornerstone of technology in the era of big data. In the field of quantum information science, the combination of machine learning and quantum computing technology has also attracted more and more attention from researchers. One of the main ideas of combining machine learning and quantum computing is to use the superposition of quantum states and the acceleration of quantum algorithms to solve the difficulties of huge data volume and slow training process in current data science. The research in the field of quantum machine learning originated from Research on quantum neural networks. [0003] Quantum Neural Network (QNN) is a novel ...

AI Technical Summary

Problems solved by technology

But the problem is that these schemes all introduce nonlinear operators. Although nonlinear quantum mechanics has been studied for a long time, there is still a lot of controversy about whether nonlinear algorithms can be realized in quantum.

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