Chia-Wei Hsing

Publication Activity (10 Years)

Years Active: 2020-2022
Publications (10 Years): 7

Top Topics

Evolutionary Optimization

Quantum Computing

Top Venues

Mach. Learn. Sci. Technol.

Publications

Raj G. Patel, Chia-Wei Hsing, Serkan Sahin, Samuel Palmer, Saeed S. Jahromi, Shivam Sharma, Tomas Dominguez, Kris Tziritas, Christophe Michel, Vincent Porte, Mustafa Abid, Stephane Aubert, Pierre Castellani, Samuel Mugel, Roman Orus
Quantum-Inspired Tensor Neural Networks for Option Pricing. CoRR (2022)
Raj G. Patel, Chia-Wei Hsing, Serkan Sahin, Saeed S. Jahromi, Samuel Palmer, Shivam Sharma, Christophe Michel, Vincent Porte, Mustafa Abid, Stephane Aubert, Pierre Castellani, Chi-Guhn Lee, Samuel Mugel, Roman Orus
Quantum-Inspired Tensor Neural Networks for Partial Differential Equations. CoRR (2022)
Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Hsi-Sheng Goan, Ying-Jer Kao
Variational quantum reinforcement learning via evolutionary optimization. Mach. Learn. Sci. Technol. 3 (1) (2022)
Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Hsi-Sheng Goan, Ying-Jer Kao
Variational Quantum Reinforcement Learning via Evolutionary Optimization. CoRR (2021)
Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao
An end-to-end trainable hybrid classical-quantum classifier. CoRR (2021)
Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao
An end-to-end trainable hybrid classical-quantum classifier. Mach. Learn. Sci. Technol. 2 (4) (2021)
Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit. CoRR (2020)