Training Quantum Embedding Kernels on Near-Term Quantum Computers

Training Quantum Embedding Kernels on Near-Term Quantum Computers

5 May 2021

Elies Gil-Fuster

Peter-Jan H. S. Derks

Paul K. Faehrmann

Johannes Jakob Meyer

Papers citing "Training Quantum Embedding Kernels on Near-Term Quantum Computers"

19 / 19 papers shown

Title
On the similarity of bandwidth-tuned quantum kernels and classical kernels Roberto Flórez Ablan M. Roth Jan Schnabel 60 2 0 07 Mar 2025
Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M type classification Xavier Vasques Hanhee Paik Laura Cif 44 18 0 10 Feb 2025
Understanding Generalization in Quantum Machine Learning with Margins Tak Hur Daniel K. Park AI4CE 26 1 0 11 Nov 2024
The Impact of Feature Embedding Placement in the Ansatz of a Quantum Kernel in QSVMs Ilmo Salmenperä Ilmars Kuhtarskis Arianne Meijer van de Griend Jukka K. Nurminen 19 0 0 20 Sep 2024
Quantum Kernel Methods under Scrutiny: A Benchmarking Study Jan Schnabel M. Roth 62 3 0 06 Sep 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
Reinforcement learning-based architecture search for quantum machine learning Frederic Rapp D. Kreplin Marco F. Huber M. Roth AI4CE 34 5 0 04 Jun 2024
QUACK: Quantum Aligned Centroid Kernel Kilian Tscharke Sebastian Issel Pascal Debus 27 3 0 01 May 2024
sQUlearn -- A Python Library for Quantum Machine Learning D. Kreplin Moritz Willmann Jan Schnabel Frederic Rapp Manuel Hagelüken M. Roth GP 30 9 0 15 Nov 2023
On the expressivity of embedding quantum kernels Elies Gil-Fuster Jens Eisert Vedran Dunjko 32 16 0 25 Sep 2023
Understanding quantum machine learning also requires rethinking generalization Elies Gil-Fuster Jens Eisert Carlos Bravo-Prieto 32 45 0 23 Jun 2023
Challenges and Opportunities in Quantum Machine Learning M. Cerezo Guillaume Verdon Hsin-Yuan Huang L. Cincio Patrick J. Coles VLM 19 404 0 16 Mar 2023
Unravelling physics beyond the standard model with classical and quantum anomaly detection Julian Schuhmacher Laura Boggia Vasilis Belis E. Puljak Michele Grossi M. Pierini S. Vallecorsa F. Tacchino Panagiotis Kl Barkoutsos I. Tavernelli 16 26 0 25 Jan 2023
Compositional optimization of quantum circuits for quantum kernels of support vector machines E. Torabian R. Krems 11 10 0 25 Mar 2022
The complexity of quantum support vector machines Gian Gentinetta Arne Thomsen David Sutter Stefan Woerner 37 40 0 28 Feb 2022
Subtleties in the trainability of quantum machine learning models Supanut Thanasilp Samson Wang Nhat A. Nghiem Patrick J. Coles M. Cerezo 38 61 0 27 Oct 2021
Quantum machine learning of large datasets using randomized measurements Tobias Haug C. Self Myungshik S. Kim 28 50 0 02 Aug 2021
The Inductive Bias of Quantum Kernels Jonas M. Kubler Simon Buchholz Bernhard Schölkopf 19 118 0 07 Jun 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