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Efficient Learning for Deep Quantum Neural Networks

Efficient Learning for Deep Quantum Neural Networks

Nature Communications (Nat Commun), 2019
27 February 2019
Kerstin Beer
Dmytro Bondarenko
Terry Farrelly
T. Osborne
Robert Salzmann
Ramona Wolf
ArXiv (abs)PDFHTML

Papers citing "Efficient Learning for Deep Quantum Neural Networks"

50 / 162 papers shown
Title
Bringing Quantum Algorithms to Automated Machine Learning: A Systematic
  Review of AutoML Frameworks Regarding Extensibility for QML Algorithms
Bringing Quantum Algorithms to Automated Machine Learning: A Systematic Review of AutoML Frameworks Regarding Extensibility for QML Algorithms
D. Klau
Marc-André Zöller
C. Tutschku
166
3
0
06 Oct 2023
Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks
Tensor Ring Optimized Quantum-Enhanced Tensor Neural Networks
Debanjan Konar
Dheeraj Peddireddy
Vaneet Aggarwal
B. K. Panigrahi
187
1
0
02 Oct 2023
SLIQ: Quantum Image Similarity Networks on Noisy Quantum Computers
SLIQ: Quantum Image Similarity Networks on Noisy Quantum ComputersAAAI Conference on Artificial Intelligence (AAAI), 2023
Daniel Silver
Tirthak Patel
Aditya Ranjan
Harshitta Gandhi
William Cutler
Devesh Tiwari
185
10
0
26 Sep 2023
Differentiable Quantum Architecture Search for Quantum Reinforcement
  Learning
Differentiable Quantum Architecture Search for Quantum Reinforcement LearningInternational Conference on Quantum Computing and Engineering (QCE), 2023
Yize Sun
Yunpu Ma
Volker Tresp
204
22
0
19 Sep 2023
MORE: Measurement and Correlation Based Variational Quantum Circuit for
  Multi-classification
MORE: Measurement and Correlation Based Variational Quantum Circuit for Multi-classificationInternational Conference on Quantum Computing and Engineering (QCE), 2023
Jindi Wu
Tianjie Hu
Qun Li
125
6
0
21 Jul 2023
Fast Quantum Algorithm for Attention Computation
Fast Quantum Algorithm for Attention Computation
Yeqi Gao
Zhao Song
Xin Yang
Ruizhe Zhang
LRM
257
25
0
16 Jul 2023
Quantum Machine Learning on Near-Term Quantum Devices: Current State of
  Supervised and Unsupervised Techniques for Real-World Applications
Quantum Machine Learning on Near-Term Quantum Devices: Current State of Supervised and Unsupervised Techniques for Real-World ApplicationsPhysical Review Applied (Phys. Rev. Appl.), 2023
Yaswitha Gujju
A. Matsuo
Raymond H. Putra
378
47
0
03 Jul 2023
Towards quantum enhanced adversarial robustness in machine learning
Towards quantum enhanced adversarial robustness in machine learningNature Machine Intelligence (Nat. Mach. Intell.), 2023
Maxwell T. West
S. Tsang
J. S. Low
C. Hill
C. Leckie
Lloyd C. L. Hollenberg
S. Erfani
Muhammad Usman
AAMLOOD
152
68
0
22 Jun 2023
Reduction of finite sampling noise in quantum neural networks
Reduction of finite sampling noise in quantum neural networksQuantum (Quantum), 2023
D. Kreplin
Marco Roth
251
17
0
02 Jun 2023
A survey on the complexity of learning quantum states
A survey on the complexity of learning quantum statesNature Reviews Physics (Nat. Rev. Phys.), 2023
Anurag Anshu
Srinivasan Arunachalam
196
98
0
31 May 2023
Classical-to-Quantum Transfer Learning Facilitates Machine Learning with Variational Quantum Circuit
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
Min-hsiu Hsieh
Hector Zenil
Jesper Tegner
282
0
0
18 May 2023
CQural: A Novel CNN based Hybrid Architecture for Quantum Continual
  Machine Learning
CQural: A Novel CNN based Hybrid Architecture for Quantum Continual Machine LearningSocial Science Research Network (SSRN), 2023
Sanyam Jain
CLL
190
2
0
16 May 2023
Quantum Neural Network for Quantum Neural Computing
Quantum Neural Network for Quantum Neural Computing
Min-Gang Zhou
Zhi-Ping Liu
Hua‐Lei Yin
Chen-Long Li
Tong Xu
Zeng-Bing Chen
118
50
0
15 May 2023
Deep learning models for price forecasting of financial time series: A
  review of recent advancements: 2020-2022
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022
Chen Zhang
N. N. Sjarif
Roslina Ibrahim
AI4TS
167
88
0
21 Apr 2023
Deep-Q Learning with Hybrid Quantum Neural Network on Solving Maze
  Problems
Deep-Q Learning with Hybrid Quantum Neural Network on Solving Maze ProblemsQuantum Machine Intelligence (QMI), 2023
Haotian Chen
Yen-Jui Chang
Shih-Wei Liao
Ching-Ray Chang
143
15
0
20 Apr 2023
Variational Denoising for Variational Quantum Eigensolver
Variational Denoising for Variational Quantum EigensolverPhysical Review Research (Phys. Rev. Res.), 2023
Quoc-Hoan Tran
Shinji Kikuchi
H. Oshima
179
8
0
02 Apr 2023
Training Multilayer Perceptrons by Sampling with Quantum Annealers
Training Multilayer Perceptrons by Sampling with Quantum Annealers
Frances Fengyi Yang
Michele Sasdelli
Tat-Jun Chin
88
2
0
22 Mar 2023
Challenges and Opportunities in Quantum Machine Learning
Challenges and Opportunities in Quantum Machine LearningNature Computational Science (Nat. Comput. Sci.), 2022
M. Cerezo
Guillaume Verdon
Hsin-Yuan Huang
L. Cincio
Patrick J. Coles
VLM
199
580
0
16 Mar 2023
VENUS: A Geometrical Representation for Quantum State Visualization
VENUS: A Geometrical Representation for Quantum State Visualization
Shaolun Ruan
Ribo Yuan
Yong Wang
Yanna Lin
Y. Mao
Weiwen Jiang
Zhepeng Wang
Wei Xu
Qian-Guo Guan
224
14
0
15 Mar 2023
Error mitigation of entangled states using brainbox quantum autoencoders
Error mitigation of entangled states using brainbox quantum autoencodersScientific Reports (Sci Rep), 2023
Joséphine Pazem
M. Ansari
153
4
0
02 Mar 2023
On the Behaviour of Pulsed Qubits and their Application to Feed Forward
  Networks
On the Behaviour of Pulsed Qubits and their Application to Feed Forward Networks
Matheus Hammes
A. Robles-Kelly
66
1
0
21 Feb 2023
Effects of noise on the overparametrization of quantum neural networks
Effects of noise on the overparametrization of quantum neural networksPhysical Review Research (Phys. Rev. Res.), 2023
Diego García-Martín
Martín Larocca
M. Cerezo
210
22
0
10 Feb 2023
Delegated variational quantum algorithms based on quantum homomorphic
  encryption
Delegated variational quantum algorithms based on quantum homomorphic encryption
Qin Li
Junyu Quan
Jinjing Shi
Shenmin Zhang
Xuelong Li
126
3
0
25 Jan 2023
Learning Quantum Processes with Memory -- Quantum Recurrent Neural
  Networks
Learning Quantum Processes with Memory -- Quantum Recurrent Neural Networks
Dmytro Bondarenko
Robert Salzmann
Viktoria-S. Schmiesing
165
4
0
19 Jan 2023
Benchmarking Adversarially Robust Quantum Machine Learning at Scale
Benchmarking Adversarially Robust Quantum Machine Learning at ScalePhysical Review Research (Phys. Rev. Res.), 2022
Maxwell T. West
S. Erfani
C. Leckie
M. Sevior
Lloyd C. L. Hollenberg
Muhammad Usman
AAMLOOD
152
51
0
23 Nov 2022
An Invitation to Distributed Quantum Neural Networks
An Invitation to Distributed Quantum Neural NetworksQuantum Machine Intelligence (QMI), 2022
Lirande Pira
C. Ferrie
142
25
0
14 Nov 2022
Differentiable Quantum Programming with Unbounded Loops
Differentiable Quantum Programming with Unbounded LoopsACM Transactions on Software Engineering and Methodology (TOSEM), 2022
Wang Fang
Mingsheng Ying
Xiaodi Wu
65
1
0
08 Nov 2022
Certified Robustness of Quantum Classifiers against Adversarial Examples
  through Quantum Noise
Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum NoiseIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Jhih-Cing Huang
Yu-Lin Tsai
Chao-Han Huck Yang
Cheng-Fang Su
Chia-Mu Yu
Pin-Yu Chen
Sy-Yen Kuo
AAML
233
23
0
02 Nov 2022
QNet: A Quantum-native Sequence Encoder Architecture
QNet: A Quantum-native Sequence Encoder ArchitectureInternational Conference on Quantum Computing and Engineering (ICQCE), 2022
Wei-Yen Day
Hao-Sheng Chen
Min Sun
231
1
0
31 Oct 2022
Deep Neural Networks as the Semi-classical Limit of Topological Quantum
  Neural Networks: The problem of generalisation
Deep Neural Networks as the Semi-classical Limit of Topological Quantum Neural Networks: The problem of generalisation
A. Marcianò
De-Wei Chen
Filippo Fabrocini
C. Fields
M. Lulli
Emanuele Zappala
GNN
102
5
0
25 Oct 2022
Identification of quantum entanglement with Siamese convolutional neural
  networks and semi-supervised learning
Identification of quantum entanglement with Siamese convolutional neural networks and semi-supervised learningPhysical Review Applied (Phys. Rev. Appl.), 2022
J. Pawłowski
Mateusz Krawczyk
239
4
0
13 Oct 2022
QuAnt: Quantum Annealing with Learnt Couplings
QuAnt: Quantum Annealing with Learnt CouplingsInternational Conference on Learning Representations (ICLR), 2022
Marcel Seelbach Benkner
Maximilian Krahn
Edith Tretschk
Zorah Lähner
Michael Moeller
Vladislav Golyanik
182
6
0
13 Oct 2022
An efficient combination strategy for hybird quantum ensemble classifier
An efficient combination strategy for hybird quantum ensemble classifierInternational Journal of Quantum Information (IJQI), 2022
Xiaoyun Zhang
Ming-Ming Wang
160
7
0
13 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
151
3
0
02 Oct 2022
Scalable Quantum Neural Networks for Classification
Scalable Quantum Neural Networks for ClassificationInternational Conference on Quantum Computing and Engineering (ICQCE), 2022
Jindi Wu
Zeyi Tao
Qun Li
GNN
123
22
0
04 Aug 2022
Verifying Fairness in Quantum Machine Learning
Verifying Fairness in Quantum Machine LearningInternational Conference on Computer Aided Verification (CAV), 2022
J. Guan
Wang Fang
Mingsheng Ying
FaML
148
12
0
22 Jul 2022
The Free Energy Principle drives neuromorphic development
The Free Energy Principle drives neuromorphic development
C. Fields
Karl J. Friston
J. Glazebrook
Michael Levin
A. Marcianò
162
19
0
20 Jul 2022
Federated Learning with Quantum Secure Aggregation
Federated Learning with Quantum Secure Aggregation
Yichi Zhang
Chao Zhang
Cai Zhang
Lixin Fan
B. Zeng
Qiang Yang
FedML
230
37
0
09 Jul 2022
Quantum Approximation of Normalized Schatten Norms and Applications to
  Learning
Quantum Approximation of Normalized Schatten Norms and Applications to Learning
Yiyou Chen
Hideyuki Miyahara
Louis-S. Bouchard
V. Roychowdhury
62
2
0
23 Jun 2022
Recent Advances for Quantum Neural Networks in Generative Learning
Recent Advances for Quantum Neural Networks in Generative LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Jinkai Tian
Xiaoyun Sun
Yuxuan Du
Shanshan Zhao
Qing Liu
...
Xingyao Wu
Min-hsiu Hsieh
Tongliang Liu
Wen-Bin Yang
Dacheng Tao
AI4CE
239
111
0
07 Jun 2022
Quantum Neural Network Classifiers: A Tutorial
Quantum Neural Network Classifiers: A TutorialSciPost Physics Lecture Notes (SPLN), 2022
Weikang Li
Zhide Lu
D. Deng
137
42
0
06 Jun 2022
Evolution strategies: Application in hybrid quantum-classical neural
  networks
Evolution strategies: Application in hybrid quantum-classical neural networksQuantum Information Processing (QIP), 2022
Lucas Friedrich
Jonas Maziero
160
10
0
17 May 2022
Analytic theory for the dynamics of wide quantum neural networks
Analytic theory for the dynamics of wide quantum neural networksPhysical Review Letters (PRL), 2022
Sergii Strelchuk
K. Najafi
Kunal Sharma
F. Tacchino
Liang Jiang
Antonio Mezzacapo
270
56
0
30 Mar 2022
Toward Physically Realizable Quantum Neural Networks
Toward Physically Realizable Quantum Neural NetworksAAAI Conference on Artificial Intelligence (AAAI), 2022
Mohsen Heidari
A. Grama
Wojtek Szpankowski
79
14
0
22 Mar 2022
Quantum Neural Networks -- Computational Field Theory and Dynamics
Quantum Neural Networks -- Computational Field Theory and Dynamics
C. Gonccalves
AI4CE
48
2
0
19 Mar 2022
projUNN: efficient method for training deep networks with unitary
  matrices
projUNN: efficient method for training deep networks with unitary matricesNeural Information Processing Systems (NeurIPS), 2022
B. Kiani
Randall Balestriero
Yann LeCun
S. Lloyd
328
34
0
10 Mar 2022
Quantum neural networks force fields generation
Quantum neural networks force fields generation
Oriel Kiss
F. Tacchino
S. Vallecorsa
I. Tavernelli
AI4CE
163
22
0
09 Mar 2022
Optimal quantum dataset for learning a unitary transformation
Optimal quantum dataset for learning a unitary transformationPhysical Review Applied (Phys. Rev. Appl.), 2022
Zhan Yu
Xuanqiang Zhao
Benchi Zhao
Xin Wang
210
11
0
01 Mar 2022
Quantum Lazy Training
Quantum Lazy TrainingQuantum (Quantum), 2022
E. Abedi
Salman Beigi
Leila Taghavi
242
10
0
16 Feb 2022
Quantum activation functions for quantum neural networks
Quantum activation functions for quantum neural networksQuantum Information Processing (QIP), 2022
Marco Maronese
C. Destri
E. Prati
AI4CE
112
36
0
10 Jan 2022
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