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2109.03400
Cited By
Entangled Datasets for Quantum Machine Learning
8 September 2021
Louis Schatzki
A. Arrasmith
Patrick J. Coles
M. Cerezo
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Papers citing
"Entangled Datasets for Quantum Machine Learning"
27 / 27 papers shown
Title
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
Kaining Zhang
Liu Liu
Min-hsiu Hsieh
Dacheng Tao
59
60
0
20 Feb 2025
Computable Model-Independent Bounds for Adversarial Quantum Machine Learning
Bacui Li
T. Alpcan
Chandra Thapa
Udaya Parampalli
AAML
37
0
0
11 Nov 2024
How quantum and evolutionary algorithms can help each other: two examples
Shailendra Bhandari
Stefano Nichele
Sergiy Denysov
Pedro G. Lind
27
0
0
01 Aug 2024
Better than classical? The subtle art of benchmarking quantum machine learning models
Joseph Bowles
Shahnawaz Ahmed
Maria Schuld
34
64
0
11 Mar 2024
A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead
Kamila Zaman
Alberto Marchisio
Muhammad Abdullah Hanif
Muhammad Shafique
31
25
0
16 Oct 2023
A Post-Training Approach for Mitigating Overfitting in Quantum Convolutional Neural Networks
Aakash Ravindra Shinde
Charu Jain
A. Kalev
27
0
0
04 Sep 2023
What can we learn from quantum convolutional neural networks?
Chukwudubem Umeano
Annie E. Paine
V. Elfving
Oleksandr Kyriienko
23
12
0
31 Aug 2023
MNISQ: A Large-Scale Quantum Circuit Dataset for Machine Learning on/for Quantum Computers in the NISQ era
Leonardo Placidi
Ryuichiro Hataya
Toshio Mori
Koki Aoyama
Hayata Morisaki
K. Mitarai
Keisuke Fujii
21
8
0
29 Jun 2023
Transition Role of Entangled Data in Quantum Machine Learning
Xinbiao Wang
Yuxuan Du
Zhuozhuo Tu
Yong Luo
Xiao Yuan
Dacheng Tao
40
8
0
06 Jun 2023
Variational Denoising for Variational Quantum Eigensolver
Quoc-Hoan Tran
Shinji Kikuchi
H. Oshima
16
3
0
02 Apr 2023
Challenges and Opportunities in Quantum Machine Learning
M. Cerezo
Guillaume Verdon
Hsin-Yuan Huang
L. Cincio
Patrick J. Coles
VLM
19
403
0
16 Mar 2023
Theoretical Guarantees for Permutation-Equivariant Quantum Neural Networks
Louis Schatzki
Martín Larocca
Quynh T. Nguyen
F. Sauvage
M. Cerezo
34
84
0
18 Oct 2022
Theory for Equivariant Quantum Neural Networks
Quynh T. Nguyen
Louis Schatzki
Paolo Braccia
Michael Ragone
Patrick J. Coles
F. Sauvage
Martín Larocca
M. Cerezo
27
88
0
16 Oct 2022
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
26
73
0
14 Oct 2022
Identification of quantum entanglement with Siamese convolutional neural networks and semi-supervised learning
J. Pawłowski
Mateusz Krawczyk
16
2
0
13 Oct 2022
Microscopy is All You Need
Sergei V. Kalinin
Rama K Vasudevan
Yongtao Liu
Ayana Ghosh
Kevin M. Roccapriore
M. Ziatdinov
28
0
0
12 Oct 2022
Scalable Quantum Neural Networks for Classification
Jindi Wu
Zeyi Tao
Qun Li
GNN
22
17
0
04 Aug 2022
Group-Invariant Quantum Machine Learning
Martín Larocca
F. Sauvage
Faris M. Sbahi
Guillaume Verdon
Patrick J. Coles
M. Cerezo
AI4CE
16
117
0
04 May 2022
Quantum continual learning of quantum data realizing knowledge backward transfer
Haozhen Situ
Tianxiang Lu
Minghua Pan
Lvzhou Li
CLL
19
7
0
26 Mar 2022
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
8
354
0
09 Nov 2021
Subtleties in the trainability of quantum machine learning models
Supanut Thanasilp
Samson Wang
Nhat A. Nghiem
Patrick J. Coles
M. Cerezo
35
61
0
27 Oct 2021
Theory of overparametrization in quantum neural networks
Martín Larocca
Nathan Ju
Diego García-Martín
Patrick J. Coles
M. Cerezo
34
188
0
23 Sep 2021
Quantum Self-Supervised Learning
Ben Jaderberg
L. W. Anderson
Weidi Xie
Samuel Albanie
M. Kiffner
D. Jaksch
SSL
21
39
0
26 Mar 2021
Generalization in Quantum Machine Learning: a Quantum Information Perspective
L. Banchi
Jason Pereira
S. Pirandola
29
22
0
17 Feb 2021
Information-theoretic bounds on quantum advantage in machine learning
Hsin-Yuan Huang
R. Kueng
J. Preskill
68
213
0
07 Jan 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus
Zoë Holmes
Kunal Sharma
M. Cerezo
Patrick J. Coles
134
422
0
06 Jan 2021
Noise-Induced Barren Plateaus in Variational Quantum Algorithms
Samson Wang
Enrico Fontana
M. Cerezo
Kunal Sharma
A. Sone
L. Cincio
Patrick J. Coles
135
655
0
28 Jul 2020
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