Structural risk minimization for quantum linear classifiers

12 May 2021

Papers citing "Structural risk minimization for quantum linear classifiers"

11 / 11 papers shown

Title
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
On the expressivity of embedding quantum kernels Elies Gil-Fuster Jens Eisert Vedran Dunjko 27 16 0 25 Sep 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
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix Matthias C. Caro 25 41 0 08 Dec 2022
Exponential concentration in quantum kernel methods Supanut Thanasilp Samson Wang M. Cerezo Zoë Holmes 11 76 0 23 Aug 2022
Overfitting in quantum machine learning and entangling dropout Masahiro Kobayashi Kouhei Nakaji N. Yamamoto 13 30 0 23 May 2022
Dynamical simulation via quantum machine learning with provable generalization Joe Gibbs Zoë Holmes Matthias C. Caro Nic Ezzell Hsin-Yuan Huang L. Cincio A. Sornborger Patrick J. Coles AI4CE 18 43 0 21 Apr 2022
Generalization in quantum machine learning from few training data Matthias C. Caro Hsin-Yuan Huang M. Cerezo Kunal Sharma A. Sornborger L. Cincio Patrick J. Coles 8 354 0 09 Nov 2021
Generalization in Quantum Machine Learning: a Quantum Information Perspective L. Banchi Jason Pereira S. Pirandola 29 22 0 17 Feb 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 68 213 0 07 Jan 2021