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A kernel-based quantum random forest for improved classification

A kernel-based quantum random forest for improved classification

5 October 2022
Maiyuren Srikumar
C. Hill
Lloyd C. L. Hollenberg
ArXivPDFHTML

Papers citing "A kernel-based quantum random forest for improved classification"

5 / 5 papers shown
Title
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey
Generalization Error Bound for Quantum Machine Learning in NISQ Era -- A Survey
Bikram Khanal
Pablo Rivas
Arun Sanjel
Korn Sooksatra
Ernesto Quevedo
Alejandro Rodriguez
26
2
0
11 Sep 2024
Benchmarking Adversarially Robust Quantum Machine Learning at Scale
Benchmarking Adversarially Robust Quantum Machine Learning at Scale
Maxwell T. West
S. Erfani
C. Leckie
M. Sevior
Lloyd C. L. Hollenberg
Muhammad Usman
AAML
OOD
22
33
0
23 Nov 2022
Importance of Kernel Bandwidth in Quantum Machine Learning
Importance of Kernel Bandwidth in Quantum Machine Learning
Ruslan Shaydulin
Stefan M. Wild
30
37
0
09 Nov 2021
Connecting ansatz expressibility to gradient magnitudes and barren
  plateaus
Connecting ansatz expressibility to gradient magnitudes and barren plateaus
Zoë Holmes
Kunal Sharma
M. Cerezo
Patrick J. Coles
118
420
0
06 Jan 2021
Sharp analysis of low-rank kernel matrix approximations
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
75
277
0
09 Aug 2012
1