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Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits

2 June 2024

Papers citing "Diffusion-Inspired Quantum Noise Mitigation in Parameterized Quantum Circuits"

25 / 25 papers shown

Title
Towards Quantum Machine Learning for Malicious Code Analysis Jesus Lopez Saeefa Rubaiyet Nowmi Viviana Cadena Mohammad Saidur Rahman AAML 48 0 0 26 Aug 2025
BRAIN: Bias-Mitigation Continual Learning Approach to Vision-Brain Understanding Xuan-Bac Nguyen Thanh-Dat Truong Pawan Sinha Khoa Luu CLL 52 0 0 25 Aug 2025
COBRA: A Continual Learning Approach to Vision-Brain Understanding Xuan-Bac Nguyen Arabinda Kumar Choudhary Arabinda Kumar Choudhary Pawan Sinha Xin Li Khoa Luu CLL 232 2 0 25 Nov 2024
Quantum-Brain: Quantum-Inspired Neural Network Approach to Vision-Brain Understanding Hoang-Quan Nguyen Xuan-Bac Nguyen Hugh Churchill Arabinda Kumar Choudhary Arabinda Kumar Choudhary S. Khan Khoa Luu 249 7 0 20 Nov 2024
Hierarchical Quantum Control Gates for Functional MRI UnderstandingIEEE Workshop on Signal Processing Systems (SiPS), 2024 Xuan-Bac Nguyen Hoang-Quan Nguyen Hugh Churchill Samee U. Khan Khoa Luu 159 6 0 07 Aug 2024
Quantum Visual Feature Encoding Revisited Xuan-Bac Nguyen Hoang-Quan Nguyen Hugh Churchill Samee U. Khan Khoa Luu 133 12 0 30 May 2024
QClusformer: A Quantum Transformer-based Framework for Unsupervised Visual Clustering Xuan-Bac Nguyen Hoang-Quan Nguyen Samuel Yen-Chi Chen Samee U. Khan Hugh Churchill Khoa Luu 127 16 0 30 May 2024
BRACTIVE: A Brain Activation Approach to Human Visual Brain Learning Xuan-Bac Nguyen Hojin Jang Pawan Sinha Samee U. Khan Arabinda Kumar Choudhary Khoa Luu 210 4 0 29 May 2024
Quantum Vision Clustering Xuan-Bac Nguyen Hugh Churchill Khoa Luu Samee U. Khan 133 11 0 18 Sep 2023
Quantum-Noise-Driven Generative Diffusion ModelsAdvanced Quantum Technologies (AQT), 2023 Marco Parigi Stefano Martina Filippo Caruso DiffM 181 27 0 23 Aug 2023
An Image Patch is a Wave: Phase-Aware Vision MLP Yehui Tang Kai Han Jianyuan Guo Chang Xu Yanxi Li Chao Xu Yunhe Wang 215 152 0 24 Nov 2021
QuantumNAT: Quantum Noise-Aware Training with Noise Injection, Quantization and NormalizationDesign Automation Conference (DAC), 2021 Hanrui Wang Jiaqi Gu Yongshan Ding Zi-Chen Li Frederic T. Chong David Z. Pan Song Han 230 77 0 21 Oct 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing H. Goan Y. Kao 174 95 0 01 Sep 2021
Experimental Quantum Generative Adversarial Networks for Image Generation Heliang Huang Yuxuan Du Mingming Gong You-Wei Zhao Yulin Wu ... Chao Lu Yu-Ao Chen Dacheng Tao Xiaobo Zhu Jian-Wei Pan GAN 191 224 0 13 Oct 2020
Denoising Diffusion Implicit ModelsInternational Conference on Learning Representations (ICLR), 2020 Jiaming Song Chenlin Meng Stefano Ermon VLM DiffM 779 9,394 0 06 Oct 2020
A Co-Design Framework of Neural Networks and Quantum Circuits Towards Quantum Advantage Weiwen Jiang Jinjun Xiong Yiyu Shi 136 79 0 26 Jun 2020
Recurrent Quantum Neural Networks Johannes Bausch 166 179 0 25 Jun 2020
Denoising Diffusion Probabilistic Models Jonathan Ho Ajay Jain Pieter Abbeel DiffM 3.0K 23,469 0 19 Jun 2020
Stochastic gradient descent for hybrid quantum-classical optimizationQuantum (Quantum), 2019 R. Sweke Frederik Wilde Johannes Jakob Meyer Maria Schuld Paul K. Fährmann Barthélémy Meynard-Piganeau Jens Eisert 195 254 0 02 Oct 2019
Parameterized quantum circuits as machine learning modelsQuantum Science and Technology (QST), 2019 Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 335 1,013 0 18 Jun 2019
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 475 9,694 0 25 Aug 2017
Quantum machine learning: a classical perspective C. Ciliberto Mark Herbster Alessandro Davide Ialongo Massimiliano Pontil Andrea Rocchetto Simone Severini Leonard Wossnig AI4CE 253 471 0 26 Jul 2017
Quantum Machine Learning Jacob Biamonte P. Wittek Nicola Pancotti Patrick Rebentrost N. Wiebe S. Lloyd 237 2,214 0 28 Nov 2016
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 1.0K 8,317 0 12 Mar 2015
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014 Diederik P. Kingma Jimmy Ba ODL 4.0K 158,476 0 22 Dec 2014