ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1803.11173
  4. Cited By
Barren plateaus in quantum neural network training landscapes

Barren plateaus in quantum neural network training landscapes

29 March 2018
Jarrod R. McClean
Sergio Boixo
V. Smelyanskiy
Ryan Babbush
Hartmut Neven
ArXivPDFHTML

Papers citing "Barren plateaus in quantum neural network training landscapes"

50 / 376 papers shown
Title
Stochastic noise can be helpful for variational quantum algorithms
Stochastic noise can be helpful for variational quantum algorithms
Junyu Liu
Frederik Wilde
A. A. Mele
Liang Jiang
Jens Eisert
Jens Eisert
24
34
0
13 Oct 2022
A kernel-based quantum random forest for improved classification
A kernel-based quantum random forest for improved classification
Maiyuren Srikumar
C. Hill
Lloyd C. L. Hollenberg
24
13
0
05 Oct 2022
Quark: A Gradient-Free Quantum Learning Framework for Classification
  Tasks
Quark: A Gradient-Free Quantum Learning Framework for Classification Tasks
Zhihao Zhang
Zhuoming Chen
Heyang Huang
Zhihao Jia
36
2
0
02 Oct 2022
quEEGNet: Quantum AI for Biosignal Processing
quEEGNet: Quantum AI for Biosignal Processing
T. Koike-Akino
Ye Wang
29
4
0
29 Sep 2022
On Physics-Informed Neural Networks for Quantum Computers
On Physics-Informed Neural Networks for Quantum Computers
Stefano Markidis
PINN
32
18
0
28 Sep 2022
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement
  and measurement reduction
Shuffle-QUDIO: accelerate distributed VQE with trainability enhancement and measurement reduction
Yan Qian
Yuxuan Du
Dacheng Tao
33
3
0
26 Sep 2022
Scalable Quantum Convolutional Neural Networks
Scalable Quantum Convolutional Neural Networks
Hankyul Baek
Won Joon Yun
Joongheon Kim
19
6
0
26 Sep 2022
Error Mitigation-Aided Optimization of Parameterized Quantum Circuits:
  Convergence Analysis
Error Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis
Sharu Theresa Jose
Osvaldo Simeone
24
8
0
23 Sep 2022
Generative Modeling via Tree Tensor Network States
Generative Modeling via Tree Tensor Network States
Xun Tang
Y. Hur
Y. Khoo
Lexing Ying
21
8
0
03 Sep 2022
Non-IID Quantum Federated Learning with One-shot Communication
  Complexity
Non-IID Quantum Federated Learning with One-shot Communication Complexity
Haimeng Zhao
FedML
15
16
0
02 Sep 2022
Classical-to-quantum convolutional neural network transfer learning
Classical-to-quantum convolutional neural network transfer learning
Juhyeon Kim
Joonsuk Huh
D. Park
32
31
0
31 Aug 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
28
24
0
30 Aug 2022
AutoQML: Automatic Generation and Training of Robust Quantum-Inspired
  Classifiers by Using Genetic Algorithms on Grayscale Images
AutoQML: Automatic Generation and Training of Robust Quantum-Inspired Classifiers by Using Genetic Algorithms on Grayscale Images
Sergio Altares-López
J. J. García-Ripoll
Ángela Ribeiro
23
15
0
28 Aug 2022
Exponential concentration in quantum kernel methods
Exponential concentration in quantum kernel methods
Supanut Thanasilp
Samson Wang
M. Cerezo
Zoë Holmes
24
76
0
23 Aug 2022
QSAN: A Near-term Achievable Quantum Self-Attention Network
QSAN: A Near-term Achievable Quantum Self-Attention Network
Jinjing Shi
Ren-Xin Zhao
Wenxuan Wang
Shenmin Zhang
Xuelong Li
21
20
0
14 Jul 2022
Many-body localized hidden generative models
Many-body localized hidden generative models
Weishun Zhong
Xun Gao
S. Yelin
K. Najafi
DRL
AI4CE
12
3
0
05 Jul 2022
Quantum Advantage Seeker with Kernels (QuASK): a software framework to
  speed up the research in quantum machine learning
Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning
Francesco Di Marcantonio
Massimiliano Incudini
Davide Tezza
Michele Grossi
66
13
0
30 Jun 2022
Variational Quantum Approximate Support Vector Machine with Inference
  Transfer
Variational Quantum Approximate Support Vector Machine with Inference Transfer
Siheon Park
D. Park
J. Rhee
21
26
0
29 Jun 2022
Laziness, Barren Plateau, and Noise in Machine Learning
Laziness, Barren Plateau, and Noise in Machine Learning
Junyu Liu
Zexi Lin
Liang Jiang
35
21
0
19 Jun 2022
An Empirical Study of Quantum Dynamics as a Ground State Problem with
  Neural Quantum States
An Empirical Study of Quantum Dynamics as a Ground State Problem with Neural Quantum States
Vladimir Vargas-Calderón
Herbert Vinck-Posada
Fabio A. González
15
0
0
18 Jun 2022
Concentration of Data Encoding in Parameterized Quantum Circuits
Concentration of Data Encoding in Parameterized Quantum Circuits
Guangxi Li
Ruilin Ye
Xuanqiang Zhao
Xin Wang
24
24
0
16 Jun 2022
Bayesian Learning of Parameterised Quantum Circuits
Bayesian Learning of Parameterised Quantum Circuits
Samuel Duffield
Marcello Benedetti
Matthias Rosenkranz
19
11
0
15 Jun 2022
Bandwidth Enables Generalization in Quantum Kernel Models
Bandwidth Enables Generalization in Quantum Kernel Models
Abdulkadir Canatar
E. Peters
C. Pehlevan
Stefan M. Wild
Ruslan Shaydulin
39
42
0
14 Jun 2022
Theoretical Error Performance Analysis for Variational Quantum Circuit
  Based Functional Regression
Theoretical Error Performance Analysis for Variational Quantum Circuit Based Functional Regression
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
Min-hsiu Hsieh
28
50
0
08 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
26
81
0
07 Jun 2022
On Quantum Circuits for Discrete Graphical Models
On Quantum Circuits for Discrete Graphical Models
Nico Piatkowski
Christa Zoufal
19
4
0
01 Jun 2022
Introducing Non-Linear Activations into Quantum Generative Models
Introducing Non-Linear Activations into Quantum Generative Models
Kaitlin Gili
Mykolas Sveistrys
C. Ballance
16
10
0
28 May 2022
Mitigating barren plateaus of variational quantum eigensolvers
Mitigating barren plateaus of variational quantum eigensolvers
Xia Liu
Geng-yang Liu
Jiaxin Huang
Hao-Kai Zhang
Xin Wang
34
40
0
26 May 2022
Avoiding Barren Plateaus with Classical Deep Neural Networks
Avoiding Barren Plateaus with Classical Deep Neural Networks
Lucas Friedrich
Jonas Maziero
19
41
0
26 May 2022
QSpeech: Low-Qubit Quantum Speech Application Toolkit
QSpeech: Low-Qubit Quantum Speech Application Toolkit
Zhenhou Hong
Jianzong Wang
Xiaoyang Qu
Chendong Zhao
Wei Tao
Jing Xiao
21
4
0
26 May 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
55
34
0
25 May 2022
Estimating the randomness of quantum circuit ensembles up to 50 qubits
Estimating the randomness of quantum circuit ensembles up to 50 qubits
Minzhao Liu
Junyu Liu
Yuri Alexeev
Liang Jiang
23
8
0
19 May 2022
AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing
  and Communications
AutoQML: Automated Quantum Machine Learning for Wi-Fi Integrated Sensing and Communications
T. Koike-Akino
P. Wang
Ye Wang
34
9
0
17 May 2022
Quantum Transfer Learning for Wi-Fi Sensing
Quantum Transfer Learning for Wi-Fi Sensing
T. Koike-Akino
P. Wang
Ye Wang
22
17
0
17 May 2022
Conditional Born machine for Monte Carlo event generation
Conditional Born machine for Monte Carlo event generation
Oriel Kiss
Michele Grossi
E. Kajomovitz
S. Vallecorsa
33
14
0
16 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
11
136
0
12 May 2022
Equivariant quantum circuits for learning on weighted graphs
Equivariant quantum circuits for learning on weighted graphs
Andrea Skolik
Michele Cattelan
S. Yarkoni
Thomas Bäck
Vedran Dunjko
26
68
0
12 May 2022
An Introduction to Quantum Machine Learning for Engineers
An Introduction to Quantum Machine Learning for Engineers
Osvaldo Simeone
15
46
0
11 May 2022
Fundamental limitations on optimization in variational quantum
  algorithms
Fundamental limitations on optimization in variational quantum algorithms
Hao-Kai Zhang
Chengkai Zhu
Geng-yang Liu
Xin Wang
16
4
0
10 May 2022
Hybrid quantum ResNet for car classification and its hyperparameter
  optimization
Hybrid quantum ResNet for car classification and its hyperparameter optimization
Asel Sagingalieva
Mohammad Kordzanganeh
Andrii Kurkin
Artem Melnikov
Daniil Kuhmistrov
M. Perelshtein
A. Melnikov
Andrea Skolik
David Von Dollen
55
36
0
10 May 2022
Power of Quantum Generative Learning
Power of Quantum Generative Learning
Yuxuan Du
Zhuozhuo Tu
Bujiao Wu
Xiao Yuan
Dacheng Tao
AI4CE
27
8
0
10 May 2022
Quantum neural network autoencoder and classifier applied to an
  industrial case study
Quantum neural network autoencoder and classifier applied to an industrial case study
Stefano Mangini
A. Marruzzo
M. Piantanida
D. Gerace
D. Bajoni
C. Macchiavello
AI4CE
25
16
0
09 May 2022
Incremental Data-Uploading for Full-Quantum Classification
Incremental Data-Uploading for Full-Quantum Classification
Maniraman Periyasamy
Nico Meyer
Christian Ufrecht
Daniel D. Scherer
Axel Plinge
Christopher Mutschler
AI4CE
29
16
0
06 May 2022
Quantum Extremal Learning
Quantum Extremal Learning
Savvas Varsamopoulos
E. Philip
H. Vlijmen
Sairam Menon
Ann Vos
N. Dyubankova
B. Torfs
Anthony Rowe
V. Elfving
17
5
0
05 May 2022
LAWS: Look Around and Warm-Start Natural Gradient Descent for Quantum
  Neural Networks
LAWS: Look Around and Warm-Start Natural Gradient Descent for Quantum Neural Networks
Zeyi Tao
Jindi Wu
Qi Xia
Qun Li
28
9
0
05 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
16
117
0
04 May 2022
BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms
BEINIT: Avoiding Barren Plateaus in Variational Quantum Algorithms
Ankit Kulshrestha
Ilya Safro
16
37
0
28 Apr 2022
Dynamical simulation via quantum machine learning with provable
  generalization
Dynamical simulation via quantum machine learning with provable generalization
Joe Gibbs
Zoë Holmes
Matthias C. Caro
Nic Ezzell
Hsin-Yuan Huang
L. Cincio
A. Sornborger
Patrick J. Coles
AI4CE
20
43
0
21 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
27
52
0
30 Mar 2022
Optimisation-free Classification and Density Estimation with Quantum
  Circuits
Optimisation-free Classification and Density Estimation with Quantum Circuits
Vladimir Vargas-Calderón
Fabio A. González
Herbert Vinck-Posada
40
6
0
28 Mar 2022
Previous
12345678
Next