Understanding quantum machine learning also requires rethinking generalization

23 June 2023

Papers citing "Understanding quantum machine learning also requires rethinking generalization"

24 / 24 papers shown

Title
QuXAI: Explainers for Hybrid Quantum Machine Learning Models Saikat Barua Mostafizur Rahman Shehenaz Khaled Md Jafor Sadek Rafiul Islam Shahnewaz Siddique 23 0 0 15 May 2025
On the Generalization of Adversarially Trained Quantum Classifiers Petros Georgiou Aaron Mark Thomas Sharu Theresa Jose Osvaldo Simeone AAML 29 0 0 24 Apr 2025
Interpretable Machine Learning in Physics: A Review Sebastian Johann Wetzel Seungwoong Ha Raban Iten Miriam Klopotek Ziming Liu AI4CE 80 0 0 30 Mar 2025
Benign Overfitting with Quantum Kernels Joachim Tomasi S. Anthoine Hachem Kadri 42 0 0 21 Mar 2025
Stability and Generalization of Quantum Neural Networks Jiaqi Yang Wei Xie Xiaohua Xu 38 1 0 22 Jan 2025
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise Bikram Khanal Pablo Rivas 87 0 0 16 Dec 2024
Understanding Generalization in Quantum Machine Learning with Margins Tak Hur Daniel K. Park AI4CE 28 1 0 11 Nov 2024
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning Bacui Li T. Alpcan Chandra Thapa Udaya Parampalli AAML 37 0 0 11 Nov 2024
Few measurement shots challenge generalization in learning to classify entanglement L. Banchi Jason L. Pereira Marco Zamboni 25 0 0 10 Nov 2024
Satellite image classification with neural quantum kernels Pablo Rodriguez-Grasa Robert Farzan-Rodriguez Gabriele Novelli Yue Ban Mikel Sanz 31 0 0 30 Sep 2024
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey Bikram Khanal Pablo Rivas Arun Sanjel Korn Sooksatra Ernesto Quevedo Alejandro Rodriguez 28 2 0 11 Sep 2024
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits Yuxuan Du Min-hsiu Hsieh Dacheng Tao 39 2 0 22 Aug 2024
Concept learning of parameterized quantum models from limited measurements Beng Yee Gan Po-Wei Huang Elies Gil-Fuster Patrick Rebentrost 40 1 0 09 Aug 2024
On the relation between trainability and dequantization of variational quantum learning models Elies Gil-Fuster Casper Gyurik Adrián Pérez-Salinas Vedran Dunjko 34 10 0 11 Jun 2024
Expanding the Horizon: Enabling Hybrid Quantum Transfer Learning for Long-Tailed Chest X-Ray Classification Skylar Chan Pranav Kulkarni P. Yi Vishwa S. Parekh 26 0 0 30 Apr 2024
Multi-Class Quantum Convolutional Neural Networks Marco Mordacci Davide Ferrari Michele Amoretti 21 2 0 19 Apr 2024
Geometric quantum machine learning of BQP $^A$ protocols and latent graph classifiers Chukwudubem Umeano V. Elfving Oleksandr Kyriienko 32 2 0 06 Feb 2024
Training robust and generalizable quantum models Julian Berberich Daniel Fink Daniel Pranjić C. Tutschku Christian Holm OOD 23 12 0 20 Nov 2023
What can we learn from quantum convolutional neural networks? Chukwudubem Umeano Annie E. Paine V. Elfving Oleksandr Kyriienko 23 12 0 31 Aug 2023
Trainability barriers and opportunities in quantum generative modeling Manuel S. Rudolph S. Lerch Supanut Thanasilp Oriel Kiss S. Vallecorsa Michele Grossi Zoë Holmes 51 25 0 04 May 2023
Style-based quantum generative adversarial networks for Monte Carlo events Carlos Bravo-Prieto J. Baglio M. Cè A. Francis D. Grabowska Stefano Carrazza GAN 39 40 0 13 Oct 2021
On the statistical complexity of quantum circuits Kaifeng Bu D. E. Koh Lu Li Qingxian Luo Yaobo Zhang 53 43 0 15 Jan 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus Zoë Holmes Kunal Sharma M. Cerezo Patrick J. Coles 143 423 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