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2102.01659
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Capacity and quantum geometry of parametrized quantum circuits
PRX Quantum (PRX Quantum), 2021
2 February 2021
Tobias Haug
Kishor Bharti
M. S. Kim
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Papers citing
"Capacity and quantum geometry of parametrized quantum circuits"
24 / 24 papers shown
A Primer on Quantum Machine Learning
Su Yeon Chang
M. Cerezo
245
7
0
20 Nov 2025
FD4QC: Application of Classical and Quantum-Hybrid Machine Learning for Financial Fraud Detection A Technical Report
Matteo Cardaioli
Luca Marangoni
Giada Martini
Francesco Mazzolin
Luca Pajola
Andrea Ferretto Parodi
Alessandra Saitta
Maria Chiara Vernillo
142
1
0
25 Jul 2025
Connecting phases of matter to the flatness of the loss landscape in analog variational quantum algorithms
Kasidit Srimahajariyapong
Supanut Thanasilp
Thiparat Chotibut
263
4
0
16 Jun 2025
Quantum Complex-Valued Self-Attention Model
Fu Chen
Qinglin Zhao
Li Feng
Longfei Tang
Yangbin Lin
Haitao Huang
MQ
413
2
0
24 Mar 2025
Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
Neural Information Processing Systems (NeurIPS), 2022
Kaining Zhang
Liu Liu
Min-hsiu Hsieh
Dacheng Tao
489
109
0
20 Feb 2025
A Fast Quantum Image Compression Algorithm based on Taylor Expansion
International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2025
Vu Tuan Hai
Huynh Ho Thi Mong Trinh
Pham Hoai Luan
173
1
0
15 Feb 2025
Data re-uploading in Quantum Machine Learning for time series: application to traffic forecasting
Nikolaos Schetakis
Paolo Bonfini
Negin Alisoltani
Konstantinos Blazakis
Symeon I. Tsintzos
Alexis Askitopoulos
Davit Aghamalyan
Panagiotis Fafoutellis
Eleni I. Vlahogianni
299
6
0
22 Jan 2025
Data-Dependent Generalization Bounds for Parameterized Quantum Models Under Noise
Journal of Supercomputing (J. Supercomput.), 2024
Bikram Khanal
Pablo Rivas
506
4
0
16 Dec 2024
Variational Optimization for Quantum Problems using Deep Generative Networks
Lingxia Zhang
Xiaodie Lin
Peidong Wang
Kaiyan Yang
Xiao Zeng
Zhaohui Wei
Zizhu Wang
241
7
0
28 Apr 2024
Statistical Complexity of Quantum Learning
Advanced Quantum Technologies (AQT), 2023
L. Banchi
Jason Luke Pereira
Sharu Theresa Jose
Osvaldo Simeone
243
20
0
20 Sep 2023
Understanding quantum machine learning also requires rethinking generalization
Nature Communications (Nat. Commun.), 2023
Elies Gil-Fuster
Jens Eisert
Carlos Bravo-Prieto
313
91
0
23 Jun 2023
Effects of noise on the overparametrization of quantum neural networks
Physical Review Research (Phys. Rev. Res.), 2023
Diego García-Martín
Martín Larocca
M. Cerezo
383
26
0
10 Feb 2023
Explaining Quantum Circuits with Shapley Values: Towards Explainable Quantum Machine Learning
Quantum Machine Intelligence (QMI), 2023
R. Heese
Thore Gerlach
Sascha Mucke
Sabine Muller
Matthias Jakobs
Nico Piatkowski
515
37
0
22 Jan 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification
Physical Review Letters (PRL), 2022
Yuxuan Du
Jianlong Wu
Dacheng Tao
Min-hsiu Hsieh
506
36
0
29 Dec 2022
Stochastic noise can be helpful for variational quantum algorithms
Sergii Strelchuk
Frederik Wilde
A. A. Mele
Liang Jiang
Jens Eisert
Jens Eisert
401
47
0
13 Oct 2022
Quantum Neural Network Classifiers: A Tutorial
SciPost Physics Lecture Notes (SPLN), 2022
Weikang Li
Zhide Lu
D. Deng
192
46
0
06 Jun 2022
Mitigating barren plateaus of variational quantum eigensolvers
IEEE Transactions on Quantum Engineering (IEEE Trans. Quantum Eng.), 2022
Xia Liu
Geng-yang Liu
Jiaxin Huang
Hao-Kai Zhang
Xin Wang
245
61
0
26 May 2022
Beyond Ansätze: Learning Quantum Circuits as Unitary Operators
Bálint Máté
Bertrand Le Saux
Maxwell P. Henderson
249
3
0
01 Mar 2022
Theory of overparametrization in quantum neural networks
Nature Computational Science (Nat. Comput. Sci.), 2021
Martín Larocca
Nathan Ju
Diego García-Martín
Patrick J. Coles
M. Cerezo
292
254
0
23 Sep 2021
Recent advances for quantum classifiers
Science China Physics Mechanics and Astronomy (SCPMA), 2021
Weikang Li
D. Deng
AAML
341
104
0
30 Aug 2021
Quantum machine learning of large datasets using randomized measurements
Tobias Haug
C. Self
Myungshik S. Kim
452
66
0
02 Aug 2021
Optimal training of variational quantum algorithms without barren plateaus
Tobias Haug
M. S. Kim
343
43
0
29 Apr 2021
Entanglement Diagnostics for Efficient Quantum Computation
Journal of Statistical Mechanics: Theory and Experiment (JSTAT), 2021
Joonho Kim
Yaron Oz
215
16
0
24 Feb 2021
Quantum circuit architecture search for variational quantum algorithms
npj Quantum Information (npjQI), 2020
Yuxuan Du
Tao Huang
Shan You
Min-hsiu Hsieh
Dacheng Tao
537
218
0
20 Oct 2020
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