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Research on quantum neural computation

LV Qiu-xia

Published Jan 1, 2007• 0 citations
OpenAlex

Abstract

The quantum neural computation is e burgeoning new technical theory,which combines quantum computation with classical neural computation.in the paper introduced the quantum neural computation the newest research directions,simply has discussed the quantum neural computation related several questions,finally summarized the quantum neural computation several superiority.

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The quantum neural computation is e burgeoning new technical theory,which combines quantum computation with classical neural computation.in the paper introduced the quantum neural computation the newest research directions,simply has discussed the quantum neural computation related several questions,finally summarized the quantum neural computation several superiority.
In recent years, artificial neural networks have been widely used in various fields and have shown strong computational intelligence. At the same time, quantum computing hardware has been developed rapidly. In particular, near term quantum processors have relatively stable computing capabilities and robustness against decoherence. With the aid of this powerful quantum technique, nowadays many commercial cloud quantum computing companies can provide online quantum computing experimental platforms for scholars around the world. Various technical developments have promoted the emergence of many new research ideas and experimental progress in the cross-field of quantum neural networks. In this paper, the research ideas of early quantum neural networks are summarized first. The data encoding, algorithm flows, and quantum circuit design of quantum neural networks based on recent quantum processors are then reviewed and analyzed. Finally, several key scientific problems in the field of quantum neural networks are summarized, and prospective future research directions are presented.
This chapter outlines the research, development and perspectives of quantum neural networks - a burgeoning new field which integrates classical neurocomputing with quantum computation [1]. It is argued that the study of quantum neural networks may give us both new understanding of brain function as well as unprecedented possibilities in creating new systems for information processing, including solving classically intractable problems, associative memory with exponential capacity and possibly overcoming the limitations posed by the Church-Turing thesis.
Many countries have invested a large amount of scientific research funds into supporting quantum information technology and proposed many policies to support the three main quantum technology fields: quantum sensing, quantum communication and quantum computing. Many science and technology giants have also provided quantum cloud computing experimental platforms that can provide quantum access online. With the investment of various technologies and resources, quantum information technology has developed rapidly. The combination of quantum computing and neural networks is a research branch that has attracted much attention in the field of quantum computing in recent years. It mainly involves the study of how to exploit the computational acceleration advantage of quantum computing to deal with various problems solved by neural networks in traditional artificial intelligence. In this paper, the recent development of the quantum computer is widely investigated, and a quantum neural network is briefly analyzed. Finally, the performance of the quantum neural network and quantum optimization is discussed, and future research directions are proposed.