QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks

6 October 2021

Papers citing "QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks"

20 / 20 papers shown

Title
Differentiable Quantum Architecture Search in Quantum-Enhanced Neural Network Parameter Generation Samuel Yen-Chi Chen Chen-Yu Liu Kuan-Cheng Chen Wei-Jia Huang Yen-Jui Chang Wei-Hao Huang 19 0 0 13 May 2025
Introduction to Quantum Machine Learning and Quantum Architecture Search Samuel Yen-Chi Chen Zhiding Liang 28 0 0 21 Apr 2025
Quantum-Train-Based Distributed Multi-Agent Reinforcement Learning Kuan-Cheng Chen Samuel Yen-Chi Chen Chen-Yu Liu Kin K Leung 60 5 0 12 Dec 2024
An Introduction to Quantum Reinforcement Learning (QRL) Samuel Yen-Chi Chen 40 0 0 09 Sep 2024
Differentiable Quantum Architecture Search in Asynchronous Quantum Reinforcement Learning Samuel Yen-Chi Chen 44 5 0 25 Jul 2024
Learning to Program Variational Quantum Circuits with Fast Weights Samuel Yen-Chi Chen 27 11 0 27 Feb 2024
Élivágar: Efficient Quantum Circuit Search for Classification Sashwat Anagolum Narges Alavisamani Poulami Das Moinuddin K. Qureshi Eric Kessler Yunong Shi 34 14 0 17 Jan 2024
Classical-to-Quantum Transfer Learning Facilitates Machine Learning with Variational Quantum Circuit Jun Qi Chao-Han Huck Yang Pin-Yu Chen Min-hsiu Hsieh Hector Zenil Jesper Tegner 24 0 0 18 May 2023
Quantum deep Q learning with distributed prioritized experience replay Samuel Yen-Chi Chen BDL 15 5 0 19 Apr 2023
Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent Jun Qi Xiaolin Zhang Javier Tejedor FedML 21 8 0 27 Feb 2023
Asynchronous training of quantum reinforcement learning Samuel Yen-Chi Chen OffRL 19 18 0 12 Jan 2023
Reservoir Computing via Quantum Recurrent Neural Networks Samuel Yen-Chi Chen D. Fry Amol Deshmukh V. Rastunkov Charlee Stefanski 15 16 0 04 Nov 2022
Quantum deep recurrent reinforcement learning Samuel Yen-Chi Chen 48 17 0 26 Oct 2022
Federated Quantum Natural Gradient Descent for Quantum Federated Learning Jun Qi FedML 17 16 0 15 Aug 2022
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression Jun Qi Chao-Han Huck Yang Pin-Yu Chen Min-hsiu Hsieh 28 50 0 08 Jun 2022
Compositional optimization of quantum circuits for quantum kernels of support vector machines E. Torabian R. Krems 11 10 0 25 Mar 2022
Quantum Distributed Deep Learning Architectures: Models, Discussions, and Applications Yunseok Kwak Won Joon Yun Jae Pyoung Kim Hyunhee Cho Minseok Choi Soyi Jung Joongheon Kim 42 41 0 19 Feb 2022
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing Chao-Han Huck Yang Jun Qi Samuel Yen-Chi Chen Yu Tsao Pin-Yu Chen 6 50 0 17 Feb 2022
Classical-to-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks Jun Qi Javier Tejedor 34 43 0 17 Oct 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing H. Goan Y. Kao 24 80 0 01 Sep 2021