Classical surrogates for quantum learning models

23 June 2022

Papers citing "Classical surrogates for quantum learning models"

22 / 22 papers shown

Title
Multiple Embeddings for Quantum Machine Learning Siyu Han Lihan Jia Lanzhe Guo 35 0 0 27 Mar 2025
Training quantum machine learning models on cloud without uploading the data Guang Ping He 27 0 0 06 Sep 2024
Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits Yuxuan Du Min-hsiu Hsieh Dacheng Tao 36 2 0 22 Aug 2024
Concept learning of parameterized quantum models from limited measurements Beng Yee Gan Po-Wei Huang Elies Gil-Fuster P. Rebentrost 40 1 0 09 Aug 2024
Quantum Supervised Learning A. Macaluso 41 3 0 24 Jul 2024
Exploiting the equivalence between quantum neural networks and perceptrons Chris Mingard Jessica Pointing Charles London Yoonsoo Nam Ard A. Louis 32 2 0 05 Jul 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
Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset Alona Sakhnenko Julian Sikora J. M. Lorenz 36 0 0 10 Jun 2024
Prospects of Privacy Advantage in Quantum Machine Learning Jamie Heredge Niraj Kumar Dylan Herman Shouvanik Chakrabarti Romina Yalovetzky Shree Hari Sureshbabu Changhao Li Marco Pistoia 28 4 0 14 May 2024
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models Maximilian Wendlinger Kilian Tscharke Pascal Debus AAML 18 8 0 24 Apr 2024
Better than classical? The subtle art of benchmarking quantum machine learning models Joseph Bowles Shahnawaz Ahmed Maria Schuld 36 64 0 11 Mar 2024
On fundamental aspects of quantum extreme learning machines Weijie Xiong Giorgio Facelli Mehrad Sahebi Owen Agnel Thiparat Chotibut Supanut Thanasilp Zoë Holmes 24 23 0 23 Dec 2023
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing M. Cerezo Martín Larocca Diego García-Martín N. L. Diaz Paolo Braccia ... Pablo Bermejo Aroosa Ijaz Supanut Thanasilp Eric R. Anschuetz Zoë Holmes 40 128 0 14 Dec 2023
Learning unitaries with quantum statistical queries Armando Angrisani 23 6 0 03 Oct 2023
On the expressivity of embedding quantum kernels Elies Gil-Fuster Jens Eisert Vedran Dunjko 27 16 0 25 Sep 2023
Potential and limitations of random Fourier features for dequantizing quantum machine learning R. Sweke Erik Recio Sofiene Jerbi Elies Gil-Fuster Bryce Fuller Jens Eisert Johannes Jakob Meyer 22 12 0 20 Sep 2023
Post-variational quantum neural networks Po-Wei Huang P. Rebentrost 17 3 0 20 Jul 2023
Shadows of quantum machine learning Sofiene Jerbi Casper Gyurik Simon Marshall Riccardo Molteni Vedran Dunjko 18 41 0 31 May 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification Yuxuan Du Yibo Yang Dacheng Tao Min-hsiu Hsieh 38 22 0 29 Dec 2022
Learning to predict arbitrary quantum processes Hsin-Yuan Huang Sitan Chen J. Preskill 60 65 0 26 Oct 2022
Quantum Deep Reinforcement Learning for Robot Navigation Tasks Hans Hohenfeld D. Heimann Felix Wiebe Frank Kirchner 27 18 0 24 Feb 2022
Quantum machine learning of large datasets using randomized measurements Tobias Haug C. Self Myungshik S. Kim 26 50 0 02 Aug 2021