量子机械智能 SCIE

期刊简介估计审稿时候：

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.

《量子机械智能》是一本专一于量子计较与野生智能穿插范畴的国际学术期刊。该杂志由Springer Nature出书，旨在颁发对于利用量子计较道理和手艺改良野生智能算法的首创研讨。期刊涵盖的研讨主题包含量子机械进修、量子神经收集、量子优化、量子摹拟和量子计较在现实利用中的停顿，如金融科技、药物发明和资料迷信等。它为环球研讨职员供给了一个交换最新研讨功效和切磋量子计较与野生智能连系潜力的平台。

该期刊的特色在于其专一于量子计较与野生智能这一前沿穿插学科，为相干范畴的研讨者供给了一个特地的颁发渠道。其方针读者群包含大学传授、研讨职员、研讨生和产业界的专业人士，特别是那些对量子计较在野生智能范畴的利用感乐趣的学者。期刊经由过程颁发高品质的研讨论文，鞭策量子计较和野生智能范畴的迷信成长和手艺立异。

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