Quantum Wasserstein Generative Adversarial Networks

31 October 2019

Shouvanik Chakrabarti

Papers citing "Quantum Wasserstein Generative Adversarial Networks"

29 / 29 papers shown

Title
Overcoming Dimensional Factorization Limits in Discrete Diffusion Models through Quantum Joint Distribution Learning Chuangtao Chen Qinglin Zhao Mengchu Zhou Zhimin He Haozhen Situ DiffM 46 0 0 08 May 2025
Exploring Biological Neuronal Correlations with Quantum Generative Models Vinicius Hernandes E. Greplova AI4CE 30 0 0 13 Sep 2024
Quantum Computing in Intelligent Transportation Systems: A Survey Yifan Zhuang Talha Azfar Yinhai Wang Wei Sun Xiaokun Wang Qianwen Guo Ruimin Ke 37 6 0 02 Jun 2024
Dynamical Mode Recognition of Coupled Flame Oscillators by Supervised and Unsupervised Learning Approaches Weiming Xu Tao Yang Peng Zhang 11 2 0 27 Apr 2024
Quantum State Generation with Structure-Preserving Diffusion Model Yuchen Zhu Tianrong Chen Evangelos A. Theodorou Xie Chen Molei Tao DiffM 32 6 0 09 Apr 2024
Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble Chuangtao Chen Qinglin Zhao Mengchu Zhou Zhimin He Zhili Sun Haozhen Situ 34 2 0 13 Jan 2024
Payoff-based learning with matrix multiplicative weights in quantum games Kyriakos Lotidis P. Mertikopoulos Nicholas Bambos Jose Blanchet 11 1 0 04 Nov 2023
Statistical Complexity of Quantum Learning L. Banchi Jason Luke Pereira Sharu Theresa Jose Osvaldo Simeone 35 12 0 20 Sep 2023
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning Yize Sun Yunpu Ma Volker Tresp 26 10 0 19 Sep 2023
Quantum Wasserstein GANs for State Preparation at Unseen Points of a Phase Diagram Wiktor Jurasz C. Mendl GAN 19 1 0 18 Sep 2023
Efficient option pricing with unary-based photonic computing chip and generative adversarial learning Hui Zhang Lingxiao Wan Sergi Ramos-Calderer Yuancheng Zhan Wai-Keong Mok ... Xianshu Luo Guo-qiang Lo L. Kwek J. Latorre A. Liu 30 5 0 08 Aug 2023
Quantum Solutions to the Privacy vs. Utility Tradeoff Sagnik Chatterjee Vyacheslav Kungurtsev 11 0 0 06 Jul 2023
Conditional Generative Models for Learning Stochastic Processes Salvatore Certo Anh Pham Nicolas Robles Andrew Vlasic GAN 11 4 0 19 Apr 2023
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels Xuchen You Shouvanik Chakrabarti Boyang Chen Xiaodi Wu 32 10 0 26 Mar 2023
Learning in quantum games Kyriakos Lotidis P. Mertikopoulos Nicholas Bambos 11 6 0 05 Feb 2023
Hybrid Quantum-Classical Generative Adversarial Network for High Resolution Image Generation S. Tsang Maxwell T. West S. Erfani Muhammad Usman GAN 13 32 0 22 Dec 2022
Recent Advances for Quantum Neural Networks in Generative Learning Jinkai Tian Xiaoyun Sun Yuxuan Du Shanshan Zhao Qing Liu ... Xingyao Wu Min-hsiu Hsieh Tongliang Liu Wen-Bin Yang Dacheng Tao AI4CE 24 80 0 07 Jun 2022
Power of Quantum Generative Learning Yuxuan Du Zhuozhuo Tu Bujiao Wu Xiao Yuan Dacheng Tao AI4CE 25 8 0 10 May 2022
Quantum continual learning of quantum data realizing knowledge backward transfer Haozhen Situ Tianxiang Lu Minghua Pan Lvzhou Li CLL 19 7 0 26 Mar 2022
Quantum Deep Learning for Mutant COVID-19 Strain Prediction Yumi Jin Junmin Hu Qi Li Zhirui Luo Fangxin Zhang Hao Tang Kun Qian Xian-min Jin MedIm 17 7 0 04 Mar 2022
Optimal quantum dataset for learning a unitary transformation Zhan Yu Xuanqiang Zhao Benchi Zhao Xin Wang 24 8 0 01 Mar 2022
Quantum Capsule Networks Zidu Liu Pei-Xin Shen Weikang Li L. Duan D. Deng GNN 38 18 0 05 Jan 2022
Learnability of the output distributions of local quantum circuits M. Hinsche M. Ioannou A. Nietner J. Haferkamp Yihui Quek D. Hangleiter Jean-Pierre Seifert Jens Eisert R. Sweke 27 17 0 11 Oct 2021
A Quantum Generative Adversarial Network for distributions Amine Assouel A. Jacquier A. Kondratyev GNN GAN OOD 45 17 0 04 Oct 2021
Variational inference with a quantum computer Marcello Benedetti Brian Coyle Mattia Fiorentini M. Lubasch Matthias Rosenkranz BDL 14 37 0 11 Mar 2021
Learning quantum data with the quantum Earth Mover's distance B. Kiani Giacomo De Palma M. Marvian Zi-Wen Liu S. Lloyd 13 45 0 08 Jan 2021
On the Quantum versus Classical Learnability of Discrete Distributions R. Sweke Jean-Pierre Seifert D. Hangleiter Jens Eisert 17 92 0 28 Jul 2020
Quantum Adversarial Machine Learning Sirui Lu L. Duan D. Deng AAML 14 101 0 31 Dec 2019
Quantum Expectation-Maximization for Gaussian Mixture Models Iordanis Kerenidis Alessandro Luongo A. Prakash 11 26 0 19 Aug 2019