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Problem-Dependent Power of Quantum Neural Networks on Multi-Class
  Classification
v1v2v3 (latest)

Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification

29 December 2022
Yuxuan Du
Yibo Yang
Dacheng Tao
Min-hsiu Hsieh
ArXiv (abs)PDFHTML

Papers citing "Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification"

17 / 67 papers shown
Title
Predicting Many Properties of a Quantum System from Very Few
  Measurements
Predicting Many Properties of a Quantum System from Very Few Measurements
Hsin-Yuan Huang
R. Kueng
J. Preskill
53
1,107
0
18 Feb 2020
Learning Parities with Neural Networks
Learning Parities with Neural Networks
Amit Daniely
Eran Malach
63
78
0
18 Feb 2020
Quantum Adversarial Machine Learning
Quantum Adversarial Machine Learning
Sirui Lu
L. Duan
D. Deng
AAML
71
102
0
31 Dec 2019
Deep Double Descent: Where Bigger Models and More Data Hurt
Deep Double Descent: Where Bigger Models and More Data Hurt
Preetum Nakkiran
Gal Kaplun
Yamini Bansal
Tristan Yang
Boaz Barak
Ilya Sutskever
121
942
0
04 Dec 2019
Information Scrambling in Quantum Neural Networks
Information Scrambling in Quantum Neural Networks
Huitao Shen
Pengfei Zhang
Yi-Zhuang You
H. Zhai
GNN
53
46
0
26 Sep 2019
Parameterized quantum circuits as machine learning models
Parameterized quantum circuits as machine learning models
Marcello Benedetti
Erika Lloyd
Stefan H. Sack
Mattia Fiorentini
97
893
0
18 Jun 2019
Efficient Online Quantum Generative Adversarial Learning Algorithms with
  Applications
Efficient Online Quantum Generative Adversarial Learning Algorithms with Applications
Yuxuan Du
Min-hsiu Hsieh
Dacheng Tao
62
23
0
21 Apr 2019
Uniform convergence may be unable to explain generalization in deep
  learning
Uniform convergence may be unable to explain generalization in deep learning
Vaishnavh Nagarajan
J. Zico Kolter
MoMeAI4CE
81
314
0
13 Feb 2019
Reconciling modern machine learning practice and the bias-variance
  trade-off
Reconciling modern machine learning practice and the bias-variance trade-off
M. Belkin
Daniel J. Hsu
Siyuan Ma
Soumik Mandal
240
1,650
0
28 Dec 2018
Learning and Generalization in Overparameterized Neural Networks, Going
  Beyond Two Layers
Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers
Zeyuan Allen-Zhu
Yuanzhi Li
Yingyu Liang
MLT
199
773
0
12 Nov 2018
A Convergence Theory for Deep Learning via Over-Parameterization
A Convergence Theory for Deep Learning via Over-Parameterization
Zeyuan Allen-Zhu
Yuanzhi Li
Zhao Song
AI4CEODL
264
1,463
0
09 Nov 2018
A Grover-search Based Quantum Learning Scheme for Classification
A Grover-search Based Quantum Learning Scheme for Classification
Yuxuan Du
Min-hsiu Hsieh
Tongliang Liu
Dacheng Tao
46
38
0
17 Sep 2018
Supervised learning with quantum enhanced feature spaces
Supervised learning with quantum enhanced feature spaces
Vojtěch Havlíček
A. Córcoles
K. Temme
A. Harrow
A. Kandala
J. Chow
J. Gambetta
84
1,831
0
30 Apr 2018
Barren plateaus in quantum neural network training landscapes
Barren plateaus in quantum neural network training landscapes
Jarrod R. McClean
Sergio Boixo
V. Smelyanskiy
Ryan Babbush
Hartmut Neven
92
1,821
0
29 Mar 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
283
8,904
0
25 Aug 2017
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
277
19,066
0
20 Dec 2014
Robustness and Generalization
Robustness and Generalization
Huan Xu
Shie Mannor
OOD
191
461
0
13 May 2010
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