Scopes
(Topics include but are not limited to)
Topic 1: Quantum Computing
Quantum Algorithm and Machine Learning
Quantum programming
quantum optics
quantum information processing
Quantum tensor network
Quantum error correction and mitigation
Fault-tolerant quantum computing
quantum control
Hybrid quantum classical system
Quantum Computing and Network Security
Topic 2: Physics
Mechanics and Theoretical Mechanics
quantum physics
Optics and Laser Physics
Principles of Quantum Mechanics in Photon Systems
semiconductor physics
The Physical Properties and Applications of Two Dimensional Materials
Intense Laser and Plasma Physics
Non-equilibrium statistical physics and quantum heat engines
The Application of Large Scale Simulation and Machine Learning in Physics
solid state physics
Topic 3: Machine Learning
Width learning system
machine learning
Deep learning
Reinforcement Learning
learning transfer
knowledge graph
Path Planning
transfer learning
Generative Adversarial Networks
Adversarial learning
paired-associate learning
distributed learning
Meta learning, etc
Topic 1: Quantum Computing
Quantum Algorithm and Machine Learning
Quantum programming
quantum optics
quantum information processing
Quantum tensor network
Quantum error correction and mitigation
Fault-tolerant quantum computing
quantum control
Hybrid quantum classical system
Quantum Computing and Network Security
Topic 2: Physics
Mechanics and Theoretical Mechanics
quantum physics
Optics and Laser Physics
Principles of Quantum Mechanics in Photon Systems
semiconductor physics
The Physical Properties and Applications of Two Dimensional Materials
Intense Laser and Plasma Physics
Non-equilibrium statistical physics and quantum heat engines
The Application of Large Scale Simulation and Machine Learning in Physics
solid state physics
Topic 3: Machine Learning
Width learning system
machine learning
Deep learning
Reinforcement Learning
learning transfer
knowledge graph
Path Planning
transfer learning
Generative Adversarial Networks
Adversarial learning
paired-associate learning
distributed learning
Meta learning, etc
Important Dates/重要日期
- Submission Deadline: 2025/7/27
- Registration Deadline: 2025/8/1
- Conference Date: 2025/8/5
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: ei_saime@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
谢老师
+86-15528045772(微信同号)
3825393354
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