Overview
Quantum Machine Intelligence serves as a leading platform for the dissemination of cutting-edge research at the intersection of quantum computing and artificial intelligence. Dedicated to advancing the understanding of integration between quantum computation and artificial intelligence, Quantum Machine Intelligence is unique in:
- Disseminating theoretical and experimental research about the use of quantum computing in designing more efficient artificial intelligence algorithms and their application to real-world problems;
- Disseminating theoretical and experimental research about the use of classical artificial intelligence methods in the design of innovative approaches to the problems affecting the development of quantum computers and technologies.
Therefore, Quantum Machine Intelligence serves as a significant resource for researchers and practitioners aiming to stay at the forefront of advances in the exciting and rapidly evolving field of quantum artificial intelligence.
- Editor-in-Chief
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- Giovanni Acampora
- Journal Impact Factor
- 4.1 (2023)
- 5-year Journal Impact Factor
- 4.6 (2023)
- Submission to first decision (median)
- 21 days
- Downloads
- 106,540 (2023)
Latest articles
Journal updates
Journal information
- Electronic ISSN
- 2524-4914
- Abstracted and indexed in
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- ACM Digital Library
- ANVUR
- Baidu
- CLOCKSS
- CNKI
- CNPIEC
- DBLP
- Dimensions
- EBSCO
- EI Compendex
- Emerging Sources Citation Index
- Google Scholar
- INSPEC
- INSPIRE
- Japanese Science and Technology Agency (JST)
- Naver
- OCLC WorldCat Discovery Service
- Portico
- ProQuest
- SCImago
- SCOPUS
- TD Net Discovery Service
- Wanfang
- Copyright information