Recent advances for quantum classifiers

30 August 2021

Papers citing "Recent advances for quantum classifiers"

22 / 22 papers shown

Title
ShadowNet for Data-Centric Quantum System Learning Yuxuan Du Yibo Yang Tongliang Liu Zhouchen Lin Guohao Li Dacheng Tao 36 6 0 22 Aug 2023
Universal adversarial perturbations for multiple classification tasks with quantum classifiers Yun-Zhong Qiu AAML 24 1 0 21 Jun 2023
Transition Role of Entangled Data in Quantum Machine Learning Xinbiao Wang Yuxuan Du Zhuozhuo Tu Yong Luo Xiao Yuan Dacheng Tao 40 8 0 06 Jun 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 41 22 0 29 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 24 19 0 05 Dec 2022
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 18 20 0 02 Nov 2022
A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms Javier Mancilla Christophe Pere VLM 29 17 0 28 Aug 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 26 81 0 07 Jun 2022
Power and limitations of single-qubit native quantum neural networks Zhan Yu Hong Yao Mujin Li Xin Wang 42 36 0 16 May 2022
Experimental quantum adversarial learning with programmable superconducting qubits W. Ren Weikang Li Shibo Xu Ke Wang Wenjie Jiang ... Zhen Wang Jacob Biamonte Chao Song D. Deng H. Wang AAML 28 88 0 04 Apr 2022
Quantum Capsule Networks Zidu Liu Pei-Xin Shen Weikang Li L. Duan D. Deng GNN 43 18 0 05 Jan 2022
Efficient Quantum Feature Extraction for CNN-based Learning Tong Dou Guofeng Zhang W. Cui 23 13 0 04 Jan 2022
Quantum kernels for real-world predictions based on electronic health records Z. Krunic Frederik F. Flöther G. Seegan Nathan Earnest-Noble Omar Shehab 8 36 0 12 Dec 2021
F-Divergences and Cost Function Locality in Generative Modelling with Quantum Circuits Chiara Leadbeater Louis Sharrock Brian Coyle Marcello Benedetti 20 11 0 08 Oct 2021
Quantum machine learning of large datasets using randomized measurements Tobias Haug C. Self Myungshik S. Kim 28 50 0 02 Aug 2021
Generalization in Quantum Machine Learning: a Quantum Information Perspective L. Banchi Jason Pereira S. Pirandola 29 22 0 17 Feb 2021
Universal Adversarial Examples and Perturbations for Quantum Classifiers Weiyuan Gong D. Deng AAML 32 23 0 15 Feb 2021
Noisy intermediate-scale quantum (NISQ) algorithms Kishor Bharti Alba Cervera-Lierta T. Kyaw Tobias Haug Sumner Alperin-Lea ... Tim Menke Wai-Keong Mok Sukin Sim L. Kwek Alán Aspuru-Guzik 106 390 0 21 Jan 2021
On the statistical complexity of quantum circuits Kaifeng Bu D. E. Koh Lu Li Qingxian Luo Yaobo Zhang 51 43 0 15 Jan 2021
Information-theoretic bounds on quantum advantage in machine learning Hsin-Yuan Huang R. Kueng J. Preskill 74 213 0 07 Jan 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 143 422 0 06 Jan 2021
Noise-Induced Barren Plateaus in Variational Quantum Algorithms Samson Wang Enrico Fontana M. Cerezo Kunal Sharma A. Sone L. Cincio Patrick J. Coles 138 655 0 28 Jul 2020