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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"

50 / 67 papers shown
Title
Quantum Complex-Valued Self-Attention Model
Quantum Complex-Valued Self-Attention Model
Fu Chen
Qinglin Zhao
Li Feng
Longfei Tang
Yangbin Lin
Haitao Huang
MQ
122
0
0
24 Mar 2025
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
Kaining Zhang
Liu Liu
Min-hsiu Hsieh
Dacheng Tao
112
62
0
20 Feb 2025
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
76
12
0
11 Jun 2024
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural
  Tangent Kernels
Analyzing Convergence in Quantum Neural Networks: Deviations from Neural Tangent Kernels
Xuchen You
Shouvanik Chakrabarti
Boyang Chen
Xiaodi Wu
63
10
0
26 Mar 2023
Challenges and Opportunities in Quantum Machine Learning
Challenges and Opportunities in Quantum Machine Learning
M. Cerezo
Guillaume Verdon
Hsin-Yuan Huang
L. Cincio
Patrick J. Coles
VLM
66
433
0
16 Mar 2023
Inducing Neural Collapse in Deep Long-tailed Learning
Inducing Neural Collapse in Deep Long-tailed Learning
Xuantong Liu
Jianfeng Zhang
Tianyang Hu
He Cao
Lujia Pan
Yuan Yao
53
31
0
24 Feb 2023
Theoretical Guarantees for Permutation-Equivariant Quantum Neural
  Networks
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks
Louis Schatzki
Martín Larocca
Quynh T. Nguyen
F. Sauvage
M. Cerezo
61
91
0
18 Oct 2022
Representation Theory for Geometric Quantum Machine Learning
Representation Theory for Geometric Quantum Machine Learning
Michael Ragone
Paolo Braccia
Quynh T. Nguyen
Louis Schatzki
Patrick J. Coles
F. Sauvage
Martín Larocca
M. Cerezo
AI4CE
71
75
0
14 Oct 2022
Symmetric Pruning in Quantum Neural Networks
Symmetric Pruning in Quantum Neural Networks
Xinbiao Wang
Junyu Liu
Tongliang Liu
Yong Luo
Yuxuan Du
Dacheng Tao
54
25
0
30 Aug 2022
Hidden Progress in Deep Learning: SGD Learns Parities Near the
  Computational Limit
Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit
Boaz Barak
Benjamin L. Edelman
Surbhi Goel
Sham Kakade
Eran Malach
Cyril Zhang
101
132
0
18 Jul 2022
Robustness Implies Generalization via Data-Dependent Generalization
  Bounds
Robustness Implies Generalization via Data-Dependent Generalization Bounds
Kenji Kawaguchi
Zhun Deng
K. Luh
Jiaoyang Huang
OOD
55
23
0
27 Jun 2022
Classical surrogates for quantum learning models
Classical surrogates for quantum learning models
Franz J. Schreiber
Jens Eisert
Johannes Jakob Meyer
AI4CE
69
52
0
23 Jun 2022
Laziness, Barren Plateau, and Noise in Machine Learning
Laziness, Barren Plateau, and Noise in Machine Learning
Junyu Liu
Zexi Lin
Liang Jiang
60
21
0
19 Jun 2022
Recent Advances for Quantum Neural Networks in Generative Learning
Recent Advances for Quantum Neural Networks in Generative Learning
Jinkai Tian
Xiaoyun Sun
Yuxuan Du
Shanshan Zhao
Qing Liu
...
Xingyao Wu
Min-hsiu Hsieh
Tongliang Liu
Wen-Bin Yang
Dacheng Tao
AI4CE
78
84
0
07 Jun 2022
A Convergence Theory for Over-parameterized Variational Quantum
  Eigensolvers
A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers
Xuchen You
Shouvanik Chakrabarti
Xiaodi Wu
79
34
0
25 May 2022
Exploiting symmetry in variational quantum machine learning
Exploiting symmetry in variational quantum machine learning
Johannes Jakob Meyer
Marian Mularski
Elies Gil-Fuster
A. A. Mele
F. Arzani
Alissa Wilms
Jens Eisert
AAML
49
141
0
12 May 2022
Group-Invariant Quantum Machine Learning
Group-Invariant Quantum Machine Learning
Martín Larocca
F. Sauvage
Faris M. Sbahi
Guillaume Verdon
Patrick J. Coles
M. Cerezo
AI4CE
51
123
0
04 May 2022
Experimental quantum adversarial learning with programmable
  superconducting qubits
Experimental quantum adversarial learning with programmable superconducting qubits
W. Ren
Weikang Li
Shibo Xu
Ke Wang
Wenjie Jiang
...
Zhen Wang
Jacob Biamonte
Chao Song
D. Deng
H. Wang
AAML
76
91
0
04 Apr 2022
Analytic theory for the dynamics of wide quantum neural networks
Analytic theory for the dynamics of wide quantum neural networks
Junyu Liu
K. Najafi
Kunal Sharma
F. Tacchino
Liang Jiang
Antonio Mezzacapo
48
53
0
30 Mar 2022
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a
  Learnable Classifier at the End of Deep Neural Network?
Inducing Neural Collapse in Imbalanced Learning: Do We Really Need a Learnable Classifier at the End of Deep Neural Network?
Yibo Yang
Shixiang Chen
Hefei Ling
Liangru Xie
Zhouchen Lin
Dacheng Tao
82
81
0
17 Mar 2022
Quantum advantage in learning from experiments
Quantum advantage in learning from experiments
Hsin-Yuan Huang
Michael Broughton
Jordan S. Cotler
Sitan Chen
Jingkai Li
...
Hartmut Neven
Ryan Babbush
R. Kueng
J. Preskill
Jarrod R. McClean
53
479
0
01 Dec 2021
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
95
373
0
09 Nov 2021
Quantum tangent kernel
Quantum tangent kernel
Norihito Shirai
K. Kubo
K. Mitarai
Keisuke Fujii
71
28
0
04 Nov 2021
Subtleties in the trainability of quantum machine learning models
Subtleties in the trainability of quantum machine learning models
Supanut Thanasilp
Samson Wang
Nhat A. Nghiem
Patrick J. Coles
M. Cerezo
60
63
0
27 Oct 2021
Theory of overparametrization in quantum neural networks
Theory of overparametrization in quantum neural networks
Martín Larocca
Nathan Ju
Diego García-Martín
Patrick J. Coles
M. Cerezo
83
191
0
23 Sep 2021
Recent advances for quantum classifiers
Recent advances for quantum classifiers
Weikang Li
D. Deng
AAML
70
86
0
30 Aug 2021
Sample Complexity of Learning Parametric Quantum Circuits
Sample Complexity of Learning Parametric Quantum Circuits
H. Cai
Qi Ye
D. Deng
46
21
0
19 Jul 2021
The dilemma of quantum neural networks
The dilemma of quantum neural networks
Yan Qian
Xinbiao Wang
Yuxuan Du
Xingyao Wu
Dacheng Tao
49
31
0
09 Jun 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
49
103
0
07 Jun 2021
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central
  Path
Neural Collapse Under MSE Loss: Proximity to and Dynamics on the Central Path
X. Y. Han
Vardan Papyan
D. Donoho
AAML
83
144
0
03 Jun 2021
Variational Quantum Classifiers Through the Lens of the Hessian
Variational Quantum Classifiers Through the Lens of the Hessian
Pinaki Sen
Amandeep Singh Bhatia
A. Bhatia
Ahmed Elbeltagi
45
25
0
21 May 2021
Structural risk minimization for quantum linear classifiers
Structural risk minimization for quantum linear classifiers
Casper Gyurik
Dyon van Vreumingen
Vedran Dunjko
39
33
0
12 May 2021
The Modern Mathematics of Deep Learning
The Modern Mathematics of Deep Learning
Julius Berner
Philipp Grohs
Gitta Kutyniok
P. Petersen
43
116
0
09 May 2021
Equivalence of quantum barren plateaus to cost concentration and narrow
  gorges
Equivalence of quantum barren plateaus to cost concentration and narrow gorges
A. Arrasmith
Zoë Holmes
M. Cerezo
Patrick J. Coles
50
144
0
12 Apr 2021
Towards understanding the power of quantum kernels in the NISQ era
Towards understanding the power of quantum kernels in the NISQ era
Xinbiao Wang
Yuxuan Du
Yong Luo
Dacheng Tao
112
75
0
31 Mar 2021
Quantum Self-Supervised Learning
Quantum Self-Supervised Learning
Ben Jaderberg
L. W. Anderson
Weidi Xie
Samuel Albanie
M. Kiffner
D. Jaksch
SSL
56
39
0
26 Mar 2021
An end-to-end trainable hybrid classical-quantum classifier
An end-to-end trainable hybrid classical-quantum classifier
Samuel Yen-Chi Chen
Chih-Min Huang
Chia-Wei Hsing
Y. Kao
74
75
0
04 Feb 2021
Capacity and quantum geometry of parametrized quantum circuits
Capacity and quantum geometry of parametrized quantum circuits
Tobias Haug
Kishor Bharti
M. S. Kim
63
101
0
02 Feb 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
111
222
0
07 Jan 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
200
429
0
06 Jan 2021
Variational Quantum Algorithms
Variational Quantum Algorithms
M. Cerezo
A. Arrasmith
Ryan Babbush
S. Benjamin
Suguru Endo
...
Jarrod R. McClean
K. Mitarai
Xiao Yuan
L. Cincio
Patrick J. Coles
100
2,521
0
16 Dec 2020
VSQL: Variational Shadow Quantum Learning for Classification
VSQL: Variational Shadow Quantum Learning for Classification
Guangxi Li
Zhixin Song
Xin Wang
26
45
0
15 Dec 2020
Power of data in quantum machine learning
Power of data in quantum machine learning
Hsin-Yuan Huang
Michael Broughton
Masoud Mohseni
Ryan Babbush
Sergio Boixo
Hartmut Neven
Jarrod R. McClean
88
651
0
03 Nov 2020
The power of quantum neural networks
The power of quantum neural networks
Amira Abbas
David Sutter
Christa Zoufal
Aurelien Lucchi
Alessio Figalli
Stefan Woerner
118
752
0
30 Oct 2020
Entanglement Induced Barren Plateaus
Entanglement Induced Barren Plateaus
Carlos Ortiz Marrero
M. Kieferová
N. Wiebe
53
280
0
29 Oct 2020
Experimental Quantum Generative Adversarial Networks for Image
  Generation
Experimental Quantum Generative Adversarial Networks for Image Generation
Heliang Huang
Yuxuan Du
Mingming Gong
You-Wei Zhao
Yulin Wu
...
Chao Lu
Yu-Ao Chen
Dacheng Tao
Xiaobo Zhu
Jian-Wei Pan
GAN
48
178
0
13 Oct 2020
A rigorous and robust quantum speed-up in supervised machine learning
A rigorous and robust quantum speed-up in supervised machine learning
Yunchao Liu
Srinivasan Arunachalam
K. Temme
85
542
0
05 Oct 2020
Prevalence of Neural Collapse during the terminal phase of deep learning
  training
Prevalence of Neural Collapse during the terminal phase of deep learning training
Vardan Papyan
Xuemei Han
D. Donoho
202
578
0
18 Aug 2020
Noise-Induced Barren Plateaus in Variational Quantum Algorithms
Noise-Induced Barren Plateaus in Variational Quantum Algorithms
Samson Wang
Enrico Fontana
M. Cerezo
Kunal Sharma
A. Sone
L. Cincio
Patrick J. Coles
251
664
0
28 Jul 2020
Robust data encodings for quantum classifiers
Robust data encodings for quantum classifiers
Ryan Larose
Brian Coyle
53
242
0
03 Mar 2020
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