Theoretical Error Performance Analysis for Variational Quantum Circuit
Based Functional Regression

Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression

8 June 2022

Chao-Han Huck Yang

Papers citing "Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression"

17 / 17 papers shown

Title
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise Bikram Khanal Pablo Rivas 77 0 0 16 Dec 2024
Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits Jun Qi Chao-Han Huck Yang Samuel Yen-Chi Chen Pin-Yu Chen Hector Zenil Jesper Tegner 24 0 0 13 Nov 2024
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey Bikram Khanal Pablo Rivas Arun Sanjel Korn Sooksatra Ernesto Quevedo Alejandro Rodriguez 18 1 0 11 Sep 2024
Quantum Federated Learning With Quantum Networks Tyler Wang Huan-Hsin Tseng Shinjae Yoo 16 5 0 23 Oct 2023
Federated Quantum Machine Learning with Differential Privacy Rod Rofougaran Shinjae Yoo Huan-Hsin Tseng Samuel Yen-Chi Chen FedML 23 19 0 10 Oct 2023
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks Hao Zhang Chenghong Zhu M. Jing Xin Wang 20 4 0 26 Sep 2023
Efficient quantum recurrent reinforcement learning via quantum reservoir computing Samuel Yen-Chi Chen 28 11 0 13 Sep 2023
A hybrid quantum-classical fusion neural network to improve protein-ligand binding affinity predictions for drug discovery L. Domingo M. Chehimi S. Banerjee S. H. Yuxun S. Konakanchi L. Ogunfowora S. Roy S. Selvaras M. Djukic C. Johnson AI4CE 19 5 0 06 Sep 2023
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 19 0 0 18 May 2023
Tensor networks for quantum machine learning Hans-Martin Rieser Frank Köster A. Raulf 13 21 0 21 Mar 2023
Parallel Hybrid Networks: an interplay between quantum and classical neural networks Mohammad Kordzanganeh Daria Kosichkina A. Melnikov GNN 30 22 0 06 Mar 2023
Optimizing Quantum Federated Learning Based on Federated Quantum Natural Gradient Descent Jun Qi Xiaolin Zhang Javier Tejedor FedML 16 8 0 27 Feb 2023
Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise Jhih-Cing Huang Yu-Lin Tsai Chao-Han Huck Yang Cheng-Fang Su Chia-Mu Yu Pin-Yu Chen Sy-Yen Kuo AAML 13 20 0 02 Nov 2022
Federated Quantum Natural Gradient Descent for Quantum Federated Learning Jun Qi FedML 17 16 0 15 Aug 2022
Quantum Self-Attention Neural Networks for Text Classification Guangxi Li Xuanqiang Zhao Xin Wang GNN 19 49 0 11 May 2022
Classical-to-Quantum Transfer Learning for Spoken Command Recognition Based on Quantum Neural Networks Jun Qi Javier Tejedor 29 43 0 17 Oct 2021
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 119 1,194 0 16 Aug 2016