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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
ArXiv (abs)PDFHTML

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

50 / 388 papers shown
Title
Hybrid quantum neural network for drug response prediction
Hybrid quantum neural network for drug response prediction
Asel Sagingalieva
Mohammad Kordzanganeh
Nurbolat Kenbayev
Daria Kosichkina
Tatiana Tomashuk
A. Melnikov
76
75
0
10 Nov 2022
Quantum Deep Dreaming: A Novel Approach for Quantum Circuit Design
Quantum Deep Dreaming: A Novel Approach for Quantum Circuit Design
Romi Lifshitz
68
3
0
05 Nov 2022
eXplainable AI for Quantum Machine Learning
eXplainable AI for Quantum Machine Learning
Patrick Steinmüller
Tobias Schulz
Ferdinand Graf
Daniel Herr
63
14
0
02 Nov 2022
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken
  Command Recognition
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition
Chao-Han Huck Yang
Yue Liu
Yu Zhang
Nanxin Chen
Tara N. Sainath
Sabato Marco Siniscalchi
Chin-Hui Lee
62
6
0
02 Nov 2022
Faster variational quantum algorithms with quantum kernel-based
  surrogate models
Faster variational quantum algorithms with quantum kernel-based surrogate models
Alistair W. R. Smith
A. Paige
Myungshik S. Kim
85
4
0
02 Nov 2022
Hierarchical quantum circuit representations for neural architecture
  search
Hierarchical quantum circuit representations for neural architecture search
Matt Lourens
I. Sinayskiy
D. Park
Carsten Blank
Francesco Petruccione
86
12
0
26 Oct 2022
Learning to predict arbitrary quantum processes
Learning to predict arbitrary quantum processes
Hsin-Yuan Huang
Sitan Chen
J. Preskill
107
65
0
26 Oct 2022
Protocols for classically training quantum generative models on
  probability distributions
Protocols for classically training quantum generative models on probability distributions
S. Kasture
Oleksandr Kyriienko
V. Elfving
21
9
0
24 Oct 2022
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
109
92
0
18 Oct 2022
3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data
  Processing in Classification Applications
3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications
Hankyul Baek
Won Joon Yun
Joongheon Kim
3DPC
85
4
0
18 Oct 2022
Theory for Equivariant Quantum Neural Networks
Theory for Equivariant Quantum Neural Networks
Quynh T. Nguyen
Louis Schatzki
Paolo Braccia
Michael Ragone
Patrick J. Coles
F. Sauvage
Martín Larocca
M. Cerezo
114
94
0
16 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
99
75
0
14 Oct 2022
QuAnt: Quantum Annealing with Learnt Couplings
QuAnt: Quantum Annealing with Learnt Couplings
Marcel Seelbach Benkner
Maximilian Krahn
Edith Tretschk
Zorah Lähner
Michael Moeller
Vladislav Golyanik
64
5
0
13 Oct 2022
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
101
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
75
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
83
2
0
02 Oct 2022
quEEGNet: Quantum AI for Biosignal Processing
quEEGNet: Quantum AI for Biosignal Processing
T. Koike-Akino
Ye Wang
65
5
0
29 Sep 2022
On Physics-Informed Neural Networks for Quantum Computers
On Physics-Informed Neural Networks for Quantum Computers
Stefano Markidis
PINN
90
19
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
64
3
0
26 Sep 2022
Scalable Quantum Convolutional Neural Networks
Scalable Quantum Convolutional Neural Networks
Hankyul Baek
Won Joon Yun
Joongheon Kim
75
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
48
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
38
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
49
20
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
97
39
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
75
25
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
69
17
0
28 Aug 2022
Exponential concentration in quantum kernel methods
Exponential concentration in quantum kernel methods
Supanut Thanasilp
Samson Wang
M. Cerezo
Zoë Holmes
89
90
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
107
21
0
14 Jul 2022
Many-body localized hidden generative models
Many-body localized hidden generative models
Weishun Zhong
Xun Gao
S. Yelin
K. Najafi
DRLAI4CE
54
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
133
15
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
51
27
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
65
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
78
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
72
25
0
16 Jun 2022
Bayesian Learning of Parameterised Quantum Circuits
Bayesian Learning of Parameterised Quantum Circuits
Samuel Duffield
Marcello Benedetti
Matthias Rosenkranz
60
11
0
15 Jun 2022
Bandwidth Enables Generalization in Quantum Kernel Models
Bandwidth Enables Generalization in Quantum Kernel Models
Abdulkadir Canatar
E. Peters
Cengiz Pehlevan
Stefan M. Wild
Ruslan Shaydulin
69
45
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
103
54
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
90
85
0
07 Jun 2022
On Quantum Circuits for Discrete Graphical Models
On Quantum Circuits for Discrete Graphical Models
Nico Piatkowski
Christa Zoufal
23
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
84
11
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
69
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
59
42
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
111
5
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
88
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
78
9
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
Peng Wang
Ye Wang
74
9
0
17 May 2022
Quantum Transfer Learning for Wi-Fi Sensing
Quantum Transfer Learning for Wi-Fi Sensing
T. Koike-Akino
Peng Wang
Ye Wang
74
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
79
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
57
141
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
108
68
0
12 May 2022
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