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Quantum-Noise-Driven Generative Diffusion Models

23 August 2023

Papers citing "Quantum-Noise-Driven Generative Diffusion Models"

23 / 23 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 199 0 0 08 May 2025
Quantum Generative Models for Image Generation: Insights from MNIST and MedMNIST Chi-Sheng Chen Wei An Hou Siang-Wei Hu Zhen-Sheng Cai VLM 128 2 0 30 Mar 2025
Mixed-State Quantum Denoising Diffusion Probabilistic Model Gino Kwun Bingzhi Zhang Quntao Zhuang DiffM 135 1 0 26 Nov 2024
Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits Hoang-Quan Nguyen Xuan-Bac Nguyen Samuel Yen-Chi Chen Hugh Churchill Nicholas Borys Samee U. Khan Khoa Luu DiffM 75 5 0 02 Jun 2024
Machine-learning based noise characterization and correction on neutral atoms NISQ devices Ettore Canonici Stefano Martina R. Mengoni D. Ottaviani Filippo Caruso 18 7 0 27 Jun 2023
Deep learning enhanced noise spectroscopy of a spin qubit environment Stefano Martina S. Hernández-Gómez S. Gherardini Filippo Caruso N. Fabbri 32 8 0 12 Jan 2023
Latent Diffusion Energy-Based Model for Interpretable Text Modeling Peiyu Yu Sirui Xie Xiaojian Ma Baoxiong Jia Bo Pang Ruigi Gao Yixin Zhu Song-Chun Zhu Ying Nian Wu DiffM 74 82 0 13 Jun 2022
Hierarchical Text-Conditional Image Generation with CLIP Latents Aditya A. Ramesh Prafulla Dhariwal Alex Nichol Casey Chu Mark Chen VLM DiffM 407 6,866 0 13 Apr 2022
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 280 30,103 0 01 Mar 2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models Andreas Lugmayr Martin Danelljan Andrés Romero Feng Yu Radu Timofte Luc Van Gool DiffM 352 1,409 0 24 Jan 2022
Step-unrolled Denoising Autoencoders for Text Generation Nikolay Savinov Junyoung Chung Mikolaj Binkowski Erich Elsen Aaron van den Oord DiffM 99 120 0 13 Dec 2021
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 484 1,640 0 10 Nov 2021
Learning the noise fingerprint of quantum devices Stefano Martina L. Buffoni S. Gherardini Filippo Caruso 24 26 0 23 Sep 2021
CSDI: Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation Y. Tashiro Jiaming Song Yang Song Stefano Ermon BDL DiffM 55 540 0 07 Jul 2021
Diffusion Models Beat GANs on Image Synthesis Prafulla Dhariwal Alex Nichol 241 7,857 0 11 May 2021
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting Kashif Rasul Calvin Seward Ingmar Schuster Roland Vollgraf DiffM 94 319 0 28 Jan 2021
Machine learning classification of non-Markovian noise disturbing quantum dynamics Stefano Martina S. Gherardini Filippo Caruso 28 8 0 08 Jan 2021
Information-theoretic bounds on quantum advantage in machine learning Hsin-Yuan Huang R. Kueng J. Preskill 111 222 0 07 Jan 2021
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 344 6,480 0 26 Nov 2020
Power of data in quantum machine learning Hsin-Yuan Huang Michael Broughton Masoud Mohseni Ryan Babbush Sergio Boixo Hartmut Neven Jarrod R. McClean 88 651 0 03 Nov 2020
An Introduction to Variational Autoencoders Diederik P. Kingma Max Welling BDL SSL DRL 89 2,359 0 06 Jun 2019
Quantum Machine Learning Jacob Biamonte P. Wittek Nicola Pancotti Patrick Rebentrost N. Wiebe S. Lloyd 60 2,022 0 28 Nov 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 303 6,949 0 12 Mar 2015