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Quantum Machine Intelligence is an international academic journal dedicated to the intersection of quantum computing and artificial intelligence. This journal is published by Springer Nature and aims to publish original research on improving artificial intelligence algorithms using quantum computing principles and techniques. The research topics covered by the journal include quantum machine learning, quantum neural networks, quantum optimization, quantum simulation, and the progress of quantum computing in practical applications such as financial technology, drug discovery, and materials science. It provides a platform for global researchers to exchange the latest research findings and explore the potential of combining quantum computing with artificial intelligence.

The characteristic of this journal is its focus on the cutting-edge interdisciplinary field of quantum computing and artificial intelligence, providing a dedicated publishing channel for researchers in related fields. Its target readership includes university professors, researchers, graduate students, and professionals in industry, especially scholars interested in the application of quantum computing in the field of artificial intelligence.

《量子機(jī)器智能》是一本專注于量子計算與人工智能交叉領(lǐng)域的國際學(xué)術(shù)期刊。該雜志由Springer Nature出版，旨在發(fā)表關(guān)于使用量子計算原理和技術(shù)改進(jìn)人工智能算法的原創(chuàng)研究。期刊涵蓋的研究主題包括量子機(jī)器學(xué)習(xí)、量子神經(jīng)網(wǎng)絡(luò)、量子優(yōu)化、量子模擬以及量子計算在實際應(yīng)用中的進(jìn)展，如金融科技、藥物發(fā)現(xiàn)和材料科學(xué)等。它為全球研究人員提供了一個交流最新研究成果和探討量子計算與人工智能結(jié)合潛力的平臺。

該期刊的特點(diǎn)在于其專注于量子計算與人工智能這一前沿交叉學(xué)科，為相關(guān)領(lǐng)域的研究者提供了一個專門的發(fā)表渠道。其目標(biāo)讀者群包括大學(xué)教授、研究人員、研究生以及工業(yè)界的專業(yè)人士，尤其是那些對量子計算在人工智能領(lǐng)域的應(yīng)用感興趣的學(xué)者。期刊通過發(fā)表高質(zhì)量的研究論文，推動量子計算和人工智能領(lǐng)域的科學(xué)發(fā)展和技術(shù)創(chuàng)新。

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