Unsupervised Generative Modeling Using Matrix Product States 论文
2018Physical Review X引用 258顶会
Quantum many-body systemsQuantum Computing Algorithms and ArchitectureComputational Physics and Python Applications
详细信息
- 发表期刊/会议
- Physical Review X
- 发表日期
- 2018-07-17
- 发表年份
- 2018
关键词
Quantum many-body systemsQuantum Computing Algorithms and ArchitectureComputational Physics and Python Applications
摘要
Modeling the probability distribution of complex data using insights from quantum physics is a fresh approach to generative modeling in machine learning, and shows great potential compared to conventional neural network approaches.