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Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits
20 February 2025
Kaining Zhang
Liu Liu
Min-hsiu Hsieh
Dacheng Tao
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Papers citing
"Escaping from the Barren Plateau via Gaussian Initializations in Deep Variational Quantum Circuits"
47 / 47 papers shown
Title
Connecting phases of matter to the flatness of the loss landscape in analog variational quantum algorithms
Kasidit Srimahajariyapong
Supanut Thanasilp
Thiparat Chotibut
24
0
0
01 Jul 2025
Addressing the Current Challenges of Quantum Machine Learning through Multi-Chip Ensembles
Junghoon Justin Park
Jiook Cha
Samuel Yen-Chi Chen
Huan-Hsin Tseng
Shinjae Yoo
117
0
0
13 May 2025
Quantum Autoencoder for Multivariate Time Series Anomaly Detection
Kilian Tscharke
Maximilian Wendlinger
Afrae Ahouzi
Pallavi Bhardwaj
Kaweh Amoi-Taleghani
Michael Schrödl-Baumann
Pascal Debus
52
0
0
24 Apr 2025
The Stabilizer Bootstrap of Quantum Machine Learning with up to 10000 qubits
Yuqing Li
Jinglei Cheng
Xulong Tang
Youtao Zhang
Frederic T. Chong
Junyu Liu
97
0
0
16 Dec 2024
Quantum Circuit Training with Growth-Based Architectures
Callum Duffy
Smit Chaudhary
Gergana V. Velikova
124
0
0
25 Nov 2024
Expressivity of deterministic quantum computation with one qubit
Yujin Kim
Daniel K. Park
68
0
0
05 Nov 2024
From Graphs to Qubits: A Critical Review of Quantum Graph Neural Networks
Andrea Ceschini
Francesco Mauro
Francesca De Falco
A. Sebastianelli
A. Verdone
A. Rosato
Bertrand Le Saux
Massimo Panella
Paolo Gamba
Silvia Liberata Ullo
GNN
AI4CE
87
1
0
12 Aug 2024
Investigating and Mitigating Barren Plateaus in Variational Quantum Circuits: A Survey
Jack Cunningham
Jun Zhuang
101
5
0
25 Jul 2024
On the relation between trainability and dequantization of variational quantum learning models
Elies Gil-Fuster
Casper Gyurik
Adrián Pérez-Salinas
Vedran Dunjko
106
12
0
11 Jun 2024
A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement Learning
Michael Kölle
Timo Witter
Tobias Rohe
Gerhard Stenzel
Philipp Altmann
Thomas Gabor
57
3
0
20 May 2024
Improving Trainability of Variational Quantum Circuits via Regularization Strategies
Jun Zhuang
Jack Cunningham
Chaowen Guan
73
4
0
02 May 2024
Variational quantum simulation: a case study for understanding warm starts
Ricard Puig-i-Valls
Marc Drudis
Supanut Thanasilp
Zoë Holmes
138
22
0
15 Apr 2024
On Optimizing Hyperparameters for Quantum Neural Networks
Sabrina Herbst
Vincenzo De Maio
Ivona Brandić
89
3
0
27 Mar 2024
VQC-Based Reinforcement Learning with Data Re-uploading: Performance and Trainability
Rodrigo Coelho
André Sequeira
Luis Paulo Santos
103
14
0
21 Jan 2024
Does provable absence of barren plateaus imply classical simulability? Or, why we need to rethink variational quantum computing
M. Cerezo
Martín Larocca
Diego García-Martín
N. L. Diaz
Paolo Braccia
...
Pablo Bermejo
Aroosa Ijaz
Supanut Thanasilp
Eric R. Anschuetz
Zoë Holmes
97
138
0
14 Dec 2023
Improving Parameter Training for VQEs by Sequential Hamiltonian Assembly
Jonas Stein
Navid Roshani
Maximilian Zorn
Philipp Altmann
Michael Kolle
Claudia Linnhoff-Popien
56
1
0
09 Dec 2023
Toward Automated Quantum Variational Machine Learning
Omer Subasi
76
3
0
04 Dec 2023
Statistical Analysis of Quantum State Learning Process in Quantum Neural Networks
Hao Zhang
Chenghong Zhu
M. Jing
Xin Wang
65
4
0
26 Sep 2023
Quantum Deep Hedging
El Amine Cherrat
S. Raj
Iordanis Kerenidis
Abhishek Shekhar
Ben Wood
...
Pierre Minssen
Ruslan Shaydulin
Yue Sun
Romina Yalovetzky
Marco Pistoia
78
26
0
29 Mar 2023
Problem-Dependent Power of Quantum Neural Networks on Multi-Class Classification
Yuxuan Du
Yibo Yang
Dacheng Tao
Min-hsiu Hsieh
112
23
0
29 Dec 2022
A Convergence Theory for Over-parameterized Variational Quantum Eigensolvers
Xuchen You
Shouvanik Chakrabarti
Xiaodi Wu
88
34
0
25 May 2022
Analytic theory for the dynamics of wide quantum neural networks
Junyu Liu
K. Najafi
Kunal Sharma
F. Tacchino
Liang Jiang
Antonio Mezzacapo
66
53
0
30 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
112
385
0
09 Nov 2021
Exponentially Many Local Minima in Quantum Neural Networks
Xuchen You
Xiaodi Wu
133
54
0
06 Oct 2021
Theory of overparametrization in quantum neural networks
Martín Larocca
Nathan Ju
Diego García-Martín
Patrick J. Coles
M. Cerezo
103
192
0
23 Sep 2021
Entangled Datasets for Quantum Machine Learning
Louis Schatzki
A. Arrasmith
Patrick J. Coles
M. Cerezo
101
60
0
08 Sep 2021
Capacity and quantum geometry of parametrized quantum circuits
Tobias Haug
Kishor Bharti
M. S. Kim
99
103
0
02 Feb 2021
Connecting ansatz expressibility to gradient magnitudes and barren plateaus
Zoë Holmes
Kunal Sharma
M. Cerezo
Patrick J. Coles
240
432
0
06 Jan 2021
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
170
2,563
0
16 Dec 2020
Effect of barren plateaus on gradient-free optimization
A. Arrasmith
M. Cerezo
Piotr Czarnik
L. Cincio
Patrick J. Coles
106
217
0
24 Nov 2020
On barren plateaus and cost function locality in variational quantum algorithms
Alexey Uvarov
Jacob Biamonte
103
126
0
20 Nov 2020
Absence of Barren Plateaus in Quantum Convolutional Neural Networks
Arthur Pesah
M. Cerezo
Samson Wang
T. Volkoff
A. Sornborger
Patrick J. Coles
90
283
0
05 Nov 2020
Entanglement Induced Barren Plateaus
Carlos Ortiz Marrero
M. Kieferová
N. Wiebe
87
282
0
29 Oct 2020
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
89
183
0
13 Oct 2020
A divide-and-conquer algorithm for quantum state preparation
Israel F. Araujo
D. Park
Francesco Petruccione
A. J. D. Silva
70
176
0
04 Aug 2020
Noise-Induced Barren Plateaus in Variational Quantum Algorithms
Samson Wang
Enrico Fontana
M. Cerezo
Kunal Sharma
A. Sone
L. Cincio
Patrick J. Coles
334
671
0
28 Jul 2020
Layerwise learning for quantum neural networks
Andrea Skolik
Jarrod R. McClean
Masoud Mohseni
Patrick van der Smagt
Martin Leib
71
288
0
26 Jun 2020
Variational Quantum Singular Value Decomposition
Xin Wang
Zhixin Song
Youle Wang
DRL
115
67
0
03 Jun 2020
Stochastic gradient descent for hybrid quantum-classical optimization
R. Sweke
Frederik Wilde
Johannes Jakob Meyer
Maria Schuld
Paul K. Fährmann
Barthélémy Meynard-Piganeau
Jens Eisert
92
241
0
02 Oct 2019
Quantum Natural Gradient
J. Stokes
J. Izaac
N. Killoran
Giuseppe Carleo
66
414
0
04 Sep 2019
Variational Quantum Circuits for Deep Reinforcement Learning
Samuel Yen-Chi Chen
Chao-Han Huck Yang
Jun Qi
Pin-Yu Chen
Xiaoli Ma
H. Goan
108
312
0
30 Jun 2019
Parameterized quantum circuits as machine learning models
Marcello Benedetti
Erika Lloyd
Stefan H. Sack
Mattia Fiorentini
148
904
0
18 Jun 2019
Gradient Descent Finds Global Minima of Deep Neural Networks
S. Du
Jason D. Lee
Haochuan Li
Liwei Wang
Masayoshi Tomizuka
ODL
342
1,136
0
09 Nov 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks
Arthur Jacot
Franck Gabriel
Clément Hongler
346
3,226
0
20 Jun 2018
Supervised learning with quantum enhanced feature spaces
Vojtěch Havlíček
A. Córcoles
K. Temme
A. Harrow
A. Kandala
J. Chow
J. Gambetta
120
1,852
0
30 Apr 2018
Barren plateaus in quantum neural network training landscapes
Jarrod R. McClean
Sergio Boixo
V. Smelyanskiy
Ryan Babbush
Hartmut Neven
155
1,836
0
29 Mar 2018
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.4K
150,597
0
22 Dec 2014
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