ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2105.05566
  4. Cited By
Structural risk minimization for quantum linear classifiers

Structural risk minimization for quantum linear classifiers

12 May 2021
Casper Gyurik
Dyon van Vreumingen
Vedran Dunjko
ArXivPDFHTML

Papers citing "Structural risk minimization for quantum linear classifiers"

13 / 13 papers shown
Title
On the relation between trainability and dequantization of variational quantum learning models
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
On the expressivity of embedding quantum kernels
On the expressivity of embedding quantum kernels
Elies Gil-Fuster
Jens Eisert
Vedran Dunjko
35
18
0
25 Sep 2023
Understanding quantum machine learning also requires rethinking
  generalization
Understanding quantum machine learning also requires rethinking generalization
Elies Gil-Fuster
Jens Eisert
Carlos Bravo-Prieto
38
45
0
23 Jun 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class
  Classification
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification
Yuxuan Du
Yibo Yang
Dacheng Tao
Min-hsiu Hsieh
43
23
0
29 Dec 2022
Learning Quantum Processes and Hamiltonians via the Pauli Transfer
  Matrix
Learning Quantum Processes and Hamiltonians via the Pauli Transfer Matrix
Matthias C. Caro
27
41
0
08 Dec 2022
Exponential concentration in quantum kernel methods
Exponential concentration in quantum kernel methods
Supanut Thanasilp
Samson Wang
M. Cerezo
Zoë Holmes
24
76
0
23 Aug 2022
Overfitting in quantum machine learning and entangling dropout
Overfitting in quantum machine learning and entangling dropout
Masahiro Kobayashi
Kouhei Nakaji
N. Yamamoto
13
30
0
23 May 2022
Dynamical simulation via quantum machine learning with provable
  generalization
Dynamical simulation via quantum machine learning with provable generalization
Joe Gibbs
Zoë Holmes
Matthias C. Caro
Nic Ezzell
Hsin-Yuan Huang
L. Cincio
A. Sornborger
Patrick J. Coles
AI4CE
26
43
0
21 Apr 2022
Generalization in quantum machine learning from few training data
Generalization in quantum machine learning from few training data
Matthias C. Caro
Hsin-Yuan Huang
M. Cerezo
Kunal Sharma
A. Sornborger
L. Cincio
Patrick J. Coles
10
355
0
09 Nov 2021
Encoding-dependent generalization bounds for parametrized quantum
  circuits
Encoding-dependent generalization bounds for parametrized quantum circuits
Matthias C. Caro
Elies Gil-Fuster
Johannes Jakob Meyer
Jens Eisert
R. Sweke
UQCV
16
101
0
07 Jun 2021
Generalization in Quantum Machine Learning: a Quantum Information
  Perspective
Generalization in Quantum Machine Learning: a Quantum Information Perspective
L. Banchi
Jason Pereira
S. Pirandola
29
22
0
17 Feb 2021
On the statistical complexity of quantum circuits
On the statistical complexity of quantum circuits
Kaifeng Bu
D. E. Koh
Lu Li
Qingxian Luo
Yaobo Zhang
53
43
0
15 Jan 2021
Information-theoretic bounds on quantum advantage in machine learning
Information-theoretic bounds on quantum advantage in machine learning
Hsin-Yuan Huang
R. Kueng
J. Preskill
74
213
0
07 Jan 2021
1