Quantum Machine Intelligence

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.

《量子机器智能》是一本专注于量子计算与人工智能交叉领域的国际学术期刊。该杂志由Springer Nature出版，旨在发表关于使用量子计算原理和技术改进人工智能算法的原创研究。期刊涵盖的研究主题包括量子机器学习、量子神经网络、量子优化、量子模拟以及量子计算在实际应用中的进展，如金融科技、药物发现和材料科学等。它为全球研究人员提供了一个交流最新研究成果和探讨量子计算与人工智能结合潜力的平台。

该期刊的特点在于其专注于量子计算与人工智能这一前沿交叉学科，为相关领域的研究者提供了一个专门的发表渠道。其目标读者群包括大学教授、研究人员、研究生以及工业界的专业人士，尤其是那些对量子计算在人工智能领域的应用感兴趣的学者。期刊通过发表高质量的研究论文，推动量子计算和人工智能领域的科学发展和技术创新。

该刊已被国际权威数据库SCIE收录，该刊致力于发表经过严格同行评审的高质量原创文章，反映Multiple领域的新进展、新技术、新成果，促进该领域科研交流和科研成果转化。该刊2023年影响因子为4.1，平均审稿速度为 ，近四年来没有被列入预警名单。如果您需要投稿发表服务及指导，可以联系我们的客服老师，我们专业专注服务期刊投稿协助10年，为您提供期刊投稿个性化定制服务，并且我们确保严格保密您的个人信息及稿件内容。