A Conditional Generative Model Based on Quantum Circuit and Classical Optimization

He, Zhimin1; Li, Lvzhou2; Zheng, Shenggen3,4; Huang, Zhiming5; Situ, Haozhen6

2019-04

10.1007/s10773-019-04005-x

INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS   影响因子和分区

0020-7748

1572-9575

Generative model is an important branch of unsupervised learning techniques in machine learning. Current research shows that quantum circuits can be used to implement simple generative models. In this paper, we train a quantum conditional generator, which can generate different probability distributions according to different input labels, i.e., different initial quantum states. The model is evaluated with different datasets including chessboard images, and bars and stripes (BAS) images of 2 x 2 and 3 x 3 pixels. We also improve the performance of the model by introducing a controlled-NOT (CNOT) layer. The simulation results show that the CNOT layer can improve the performance, especially for the generative model with chain-connected entangling layers.

Quantum generative model Conditional generator Quantum machine learning

SCI

英语

其他

Fundamental Research Funds for the Central Universities[17lgzd29]

Physics

Physics, Multidisciplinary

WOS:000463756800009

SPRINGER/PLENUM PUBLISHERS

PHYSICS

Web of Science

1.Foshan Univ, Sch Elect & Informat Engn, Foshan 528000, Peoples R China
2.Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou 510006, Guangdong, Peoples R China
3.Pengcheng Lab, Shenzhen 518000, Peoples R China
4.Southern Univ Sci & Technol, Inst Quantum Sci & Engn, Shenzhen 518055, Peoples R China
5.Wuyi Univ, Sch Econ & Management, Jiangmen 529020, Peoples R China
6.South China Agr Univ, Coll Math & Informat, Guangzhou 510642, Guangdong, Peoples R China

He, Zhimin,Li, Lvzhou,Zheng, Shenggen,et al. A Conditional Generative Model Based on Quantum Circuit and Classical Optimization[J]. INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS,2019,58(4):1138-1149.

He, Zhimin,Li, Lvzhou,Zheng, Shenggen,Huang, Zhiming,&Situ, Haozhen.(2019).A Conditional Generative Model Based on Quantum Circuit and Classical Optimization.INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS,58(4),1138-1149.

He, Zhimin,et al."A Conditional Generative Model Based on Quantum Circuit and Classical Optimization".INTERNATIONAL JOURNAL OF THEORETICAL PHYSICS 58.4(2019):1138-1149.