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QKSAN: A Quantum Kernel Self-Attention Network

25 August 2023

Papers citing "QKSAN: A Quantum Kernel Self-Attention Network"

25 / 25 papers shown

Title
Quantum Complex-Valued Self-Attention Model Fu Chen Qinglin Zhao Li Feng Longfei Tang Yangbin Lin Haitao Huang MQ 127 0 0 24 Mar 2025
Challenges and Opportunities in Quantum Machine Learning M. Cerezo Guillaume Verdon Hsin-Yuan Huang L. Cincio Patrick J. Coles VLM 68 436 0 16 Mar 2023
Benchmarking Adversarial Patch Against Aerial Detection Jiawei Lian Shaohui Mei Shun Zhang Mingyang Ma AAML 78 57 0 30 Oct 2022
QSAN: A Near-term Achievable Quantum Self-Attention Network Jinjing Shi Ren-Xin Zhao Wenxuan Wang Shenmin Zhang Xuelong Li 57 21 0 14 Jul 2022
Universal expressiveness of variational quantum classifiers and quantum kernels for support vector machines Jonas Jäger R. Krems 73 72 0 12 Jul 2022
Quantum Self-Attention Neural Networks for Text Classification Guangxi Li Xuanqiang Zhao Xin Wang GNN 62 55 0 11 May 2022
MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization Wujiang Xu Bing Han jeff little Guo Shaoshuai Li Qiongxu Ma Yunan Zhao Shengting Guo Yifei Xu Junchi Yan 64 8 0 18 Apr 2022
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation Chao Chen Haoyu Geng Nianzu Yang Junchi Yan Daiyue Xue Jianping Yu Xiaokang Yang HAI AI4TS 60 11 0 30 Mar 2022
Importance of Kernel Bandwidth in Quantum Machine Learning Ruslan Shaydulin Stefan M. Wild 73 39 0 09 Nov 2021
Learning Dual Dynamic Representations on Time-Sliced User-Item Interaction Graphs for Sequential Recommendation Zeyuan Chen Wei Zhang Junchi Yan Gang Wang Jianyong Wang AI4TS 84 25 0 24 Sep 2021
The Inductive Bias of Quantum Kernels Jonas M. Kubler Simon Buchholz Bernhard Schölkopf 54 122 0 07 Jun 2021
Towards understanding the power of quantum kernels in the NISQ era Xinbiao Wang Yuxuan Du Yong Luo Dacheng Tao 112 75 0 31 Mar 2021
Generalizing Face Forgery Detection with High-frequency Features Yucheng Luo Yong Zhang Junchi Yan Wei Liu CVBM 64 345 0 23 Mar 2021
Bottleneck Transformers for Visual Recognition A. Srinivas Nayeon Lee Niki Parmar Jonathon Shlens Pieter Abbeel Ashish Vaswani SLR 360 994 0 27 Jan 2021
Supervised quantum machine learning models are kernel methods Maria Schuld 146 372 0 26 Jan 2021
A rigorous and robust quantum speed-up in supervised machine learning Yunchao Liu Srinivasan Arunachalam K. Temme 91 545 0 05 Oct 2020
Rethinking Attention with Performers K. Choromanski Valerii Likhosherstov David Dohan Xingyou Song Andreea Gane ... Afroz Mohiuddin Lukasz Kaiser David Belanger Lucy J. Colwell Adrian Weller 186 1,600 0 30 Sep 2020
Universal Approximation Property of Quantum Machine Learning Models in Quantum-Enhanced Feature Spaces Takahiro Goto Quoc Hoan Tran Kohei Nakajima 60 69 0 01 Sep 2020
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach Qitian Wu Hengrui Zhang Xiao-Zhi Gao Junchi Yan H. Zha CML 45 43 0 09 Jul 2020
Robust data encodings for quantum classifiers Ryan Larose Brian Coyle 58 242 0 03 Mar 2020
Quantum Natural Gradient J. Stokes J. Izaac N. Killoran Giuseppe Carleo 54 409 0 04 Sep 2019
Transformer Dissection: A Unified Understanding of Transformer's Attention via the Lens of Kernel Yao-Hung Hubert Tsai Shaojie Bai M. Yamada Louis-Philippe Morency Ruslan Salakhutdinov 124 261 0 30 Aug 2019
Supervised learning with quantum enhanced feature spaces Vojtěch Havlíček A. Córcoles K. Temme A. Harrow A. Kandala J. Chow J. Gambetta 84 1,833 0 30 Apr 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,920 0 25 Aug 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 730 132,363 0 12 Jun 2017