- 充值
- 会员
- 职称材料
文献信息
Quantum Machine Intelligence publishes original articles on cutting edge experimental and theoretical research in all areas of quantum artificial intelligence. The journal is unique in promoting the synthesis of research in machine learning, automated reasoning, and problem solving with developments in quantum computing from a dual perspective. On the one hand, the journal promotes the use of quantum computing for the design of more efficient artificial intelligence algorithms and their application to real-world problems. On the other hand, the journal boosts the use of classical theories and methods of artificial intelligence in the design of innovative approaches to the problems that affect the development of the current generation of quantum computers and technologies. Therefore, Quantum Machine Intelligence examines all facets of the integration between quantum computing and artificial intelligence, serving as the primary scientific forum in the innovative research field of quantum artificial intelligence.
Quantum Machine LearningQuantum ComputingQuantum Neural NetworksQuantum CircuitsMachine LearningQuantum CircuitQuantum HardwareQuantum Neural NetworkParameterized Quantum CircuitsQuantum AnnealingQuantum Convolutional Neural NetworkVariational Quantum CircuitBinary OptimizationQuantum AlgorithmQuantum AdvantageQuantum Support Vector MachineQuantum Support Vector MachinesQuantum StateQuantum ModelsConvolutional Neural Networks
vol.8 (2026)
vol.7 (2025)
vol.6 (2024)
vol.5 (2023)
vol.4 (2022)
vol.3 (2021)
vol.2 (2020)
vol.1 (2019)