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Quantum Kernel Methods under Scrutiny: A Benchmarking Study
v1v2v3 (latest)

Quantum Kernel Methods under Scrutiny: A Benchmarking Study

Quantum Machine Intelligence (QMI), 2024
6 September 2024
Jan Schnabel
M. Roth
ArXiv (abs)PDFHTML

Papers citing "Quantum Kernel Methods under Scrutiny: A Benchmarking Study"

5 / 5 papers shown
Title
Quantum Kernel Methods: Convergence Theory, Separation Bounds and Applications to Marketing Analytics
Quantum Kernel Methods: Convergence Theory, Separation Bounds and Applications to Marketing Analytics
Laura Sáez-Ortuño
Santiago Forgas-Coll
Massimiliano Ferrara
56
0
0
11 Oct 2025
Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models
Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models
Gaurav Srivastava
Aafiya Hussain
Sriram Srinivasan
Xuan Wang
LRM
128
0
0
05 Jul 2025
Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications
Supervised Quantum Machine Learning: A Future Outlook from Qubits to Enterprise Applications
Srikanth Thudumu
Jason Fisher
Hung Du
450
2
0
30 May 2025
Predicting fermionic densities using a Projected Quantum Kernel method
Predicting fermionic densities using a Projected Quantum Kernel method
Francesco Perciavalle
Francesco Plastina
Michele Pisarra
Nicola Lo Gullo
249
1
0
18 Apr 2025
On the similarity of bandwidth-tuned quantum kernels and classical kernels
On the similarity of bandwidth-tuned quantum kernels and classical kernelsQuantum Science and Technology (QST), 2025
Roberto Flórez Ablan
M. Roth
Jan Schnabel
286
3
0
07 Mar 2025
1