Importance of Kernel Bandwidth in Quantum Machine Learning

v1v2v3v4 (latest)

Importance of Kernel Bandwidth in Quantum Machine Learning

9 November 2021

Ruslan Shaydulin

ArXiv (abs)PDF HTML

Papers citing "Importance of Kernel Bandwidth in Quantum Machine Learning"

7 / 7 papers shown

Title
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey Bikram Khanal Pablo Rivas Arun Sanjel Korn Sooksatra Ernesto Quevedo Alejandro Rodriguez 82 2 0 11 Sep 2024
Quantum Kernel Methods under Scrutiny: A Benchmarking Study Jan Schnabel M. Roth 104 8 0 06 Sep 2024
Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling Michael Kölle Afrae Ahouzi Pascal Debus Elif Çetiner Robert Muller Daniëlle Schuman Claudia Linnhoff-Popien 34 0 0 30 Jul 2024
A Hyperparameter Study for Quantum Kernel Methods Sebastian Egginger Alona Sakhnenko J. M. Lorenz 91 9 0 18 Oct 2023
QKSAN: A Quantum Kernel Self-Attention Network Ren-Xin Zhao Jinjing Shi Xuelong Li 96 24 0 25 Aug 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 79 27 0 25 Jan 2023
Bandwidth Enables Generalization in Quantum Kernel Models Abdulkadir Canatar E. Peters Cengiz Pehlevan Stefan M. Wild Ruslan Shaydulin 69 45 0 14 Jun 2022