Robust data encodings for quantum classifiers

3 March 2020

Papers citing "Robust data encodings for quantum classifiers"

31 / 31 papers shown

Title
Efficient Quantum Convolutional Neural Networks for Image Classification: Overcoming Hardware Constraints Peter Röseler Oliver Schaudt Helmut Berg Christian Bauckhage Matthias Koch 29 0 0 09 May 2025
Quantum Support Vector Regression for Robust Anomaly Detection Kilian Tscharke Maximilian Wendlinger Sebastian Issel Pascal Debus AAML 30 0 0 02 May 2025
Anomaly Detection for Real-World Cyber-Physical Security using Quantum Hybrid Support Vector Machines Tyler Cultice Md. Saif Hassan Onim Annarita Giani Himanshu Thapliyal 19 2 0 08 Sep 2024
Learning with SASQuaTCh: a Novel Variational Quantum Transformer Architecture with Kernel-Based Self-Attention Ethan N. Evans Matthew G. Cook Zachary P. Bradshaw Margarite L. LaBorde 45 5 0 21 Mar 2024
Impact of Data Augmentation on QCNNs Leting Zhouli Peiyong Wang P. Udaya 16 0 0 01 Dec 2023
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead Kamila Zaman Alberto Marchisio Muhammad Abdullah Hanif Muhammad Shafique 31 25 0 16 Oct 2023
Computing the gradients with respect to all parameters of a quantum neural network using a single circuit Guanglei He 34 1 0 16 Jul 2023
The quantum cost function concentration dependency on the parametrization expressivity Lucas Friedrich Jonas Maziero 28 14 0 17 Jan 2023
SEQUENT: Towards Traceable Quantum Machine Learning using Sequential Quantum Enhanced Training Philipp Altmann Leo Sünkel Jonas Stein Tobias Müller Christoph Roch Claudia Linnhoff-Popien 20 5 0 06 Jan 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 36 22 0 29 Dec 2022
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 19 19 0 05 Dec 2022
Benchmarking Adversarially Robust Quantum Machine Learning at Scale Maxwell T. West S. Erfani C. Leckie M. Sevior Lloyd C. L. Hollenberg Muhammad Usman AAML OOD 22 33 0 23 Nov 2022
Reservoir Computing via Quantum Recurrent Neural Networks Samuel Yen-Chi Chen D. Fry Amol Deshmukh V. Rastunkov Charlee Stefanski 21 16 0 04 Nov 2022
Classical-to-quantum convolutional neural network transfer learning Juhyeon Kim Joonsuk Huh D. Park 24 31 0 31 Aug 2022
Evolutionary Quantum Architecture Search for Parametrized Quantum Circuits Lidong Ding Lee Spector 21 15 0 23 Aug 2022
Quantum Neural Network Compression Zhirui Hu Peiyan Dong Zhepeng Wang Youzuo Lin Yanzhi Wang Weiwen Jiang GNN 25 28 0 04 Jul 2022
Evolution strategies: Application in hybrid quantum-classical neural networks Lucas Friedrich Jonas Maziero 21 8 0 17 May 2022
Quantum neural network autoencoder and classifier applied to an industrial case study Stefano Mangini A. Marruzzo M. Piantanida D. Gerace D. Bajoni C. Macchiavello AI4CE 25 16 0 09 May 2022
Incremental Data-Uploading for Full-Quantum Classification Maniraman Periyasamy Nico Meyer Christian Ufrecht Daniel D. Scherer Axel Plinge Christopher Mutschler AI4CE 26 16 0 06 May 2022
Policy Gradients using Variational Quantum Circuits André Sequeira L. Santos Luis Soares Barbosa 39 11 0 20 Mar 2022
Differential Privacy Amplification in Quantum and Quantum-inspired Algorithms Armando Angrisani Mina Doosti E. Kashefi 16 12 0 07 Mar 2022
Beyond Ansätze: Learning Quantum Circuits as Unitary Operators Bálint Máté Bertrand Le Saux Maxwell P. Henderson 13 2 0 01 Mar 2022
Systematic Literature Review: Quantum Machine Learning and its applications David Peral García Juan Cruz-Benito Francisco José García-Penalvo 30 119 0 11 Jan 2022
Subtleties in the trainability of quantum machine learning models Supanut Thanasilp Samson Wang Nhat A. Nghiem Patrick J. Coles M. Cerezo 35 61 0 27 Oct 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
Entangled Datasets for Quantum Machine Learning Louis Schatzki A. Arrasmith Patrick J. Coles M. Cerezo 16 58 0 08 Sep 2021
Accelerating variational quantum algorithms with multiple quantum processors Yuxuan Du Yan Qian Dacheng Tao 9 8 0 24 Jun 2021
Power of data in quantum machine learning Hsin-Yuan Huang Michael Broughton Masoud Mohseni Ryan Babbush Sergio Boixo Hartmut Neven Jarrod R. McClean 11 621 0 03 Nov 2020
Optimal Provable Robustness of Quantum Classification via Quantum Hypothesis Testing Maurice Weber Nana Liu Bo-wen Li Ce Zhang Zhikuan Zhao AAML 29 28 0 21 Sep 2020
Universal Approximation Property of Quantum Machine Learning Models in Quantum-Enhanced Feature Spaces Takahiro Goto Q. Tran Kohei Nakajima 23 64 0 01 Sep 2020
Quantum noise protects quantum classifiers against adversaries Yuxuan Du Min-hsiu Hsieh Tongliang Liu Dacheng Tao Nana Liu AAML 22 110 0 20 Mar 2020