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1902.10445
Cited By
Efficient Learning for Deep Quantum Neural Networks
27 February 2019
Kerstin Beer
Dmytro Bondarenko
Terry Farrelly
T. Osborne
Robert Salzmann
Ramona Wolf
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Papers citing
"Efficient Learning for Deep Quantum Neural Networks"
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Title
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
30
6
0
21 Apr 2023
Deep-Q Learning with Hybrid Quantum Neural Network on Solving Maze Problems
Haotian Chen
Yen-Jui Chang
Shih-Wei Liao
Ching-Ray Chang
19
6
0
20 Apr 2023
Variational Denoising for Variational Quantum Eigensolver
Quoc-Hoan Tran
Shinji Kikuchi
H. Oshima
30
3
0
02 Apr 2023
Training Multilayer Perceptrons by Sampling with Quantum Annealers
Frances Fengyi Yang
Michele Sasdelli
Tat-Jun Chin
24
1
0
22 Mar 2023
Challenges and Opportunities in Quantum Machine Learning
M. Cerezo
Guillaume Verdon
Hsin-Yuan Huang
L. Cincio
Patrick J. Coles
VLM
19
406
0
16 Mar 2023
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
39
11
0
15 Mar 2023
Error mitigation of entangled states using brainbox quantum autoencoders
Joséphine Pazem
M. Ansari
36
3
0
02 Mar 2023
On the Behaviour of Pulsed Qubits and their Application to Feed Forward Networks
Matheus Hammes
A. Robles-Kelly
30
1
0
21 Feb 2023
Effects of noise on the overparametrization of quantum neural networks
Diego García-Martín
Martín Larocca
M. Cerezo
33
17
0
10 Feb 2023
Delegated variational quantum algorithms based on quantum homomorphic encryption
Qin Li
Junyu Quan
Jinjing Shi
Shenmin Zhang
Xuelong Li
21
2
0
25 Jan 2023
Learning Quantum Processes with Memory -- Quantum Recurrent Neural Networks
Dmytro Bondarenko
Robert Salzmann
Viktoria-S. Schmiesing
29
4
0
19 Jan 2023
Benchmarking Adversarially Robust Quantum Machine Learning at Scale
Maxwell T. West
S. Erfani
C. Leckie
M. Sevior
Lloyd C. L. Hollenberg
Muhammad Usman
AAML
OOD
30
33
0
23 Nov 2022
An Invitation to Distributed Quantum Neural Networks
Lirande Pira
C. Ferrie
35
16
0
14 Nov 2022
Differentiable Quantum Programming with Unbounded Loops
Wang Fang
Mingsheng Ying
Xiaodi Wu
19
1
0
08 Nov 2022
Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise
Jhih-Cing Huang
Yu-Lin Tsai
Chao-Han Huck Yang
Cheng-Fang Su
Chia-Mu Yu
Pin-Yu Chen
Sy-Yen Kuo
AAML
26
20
0
02 Nov 2022
QNet: A Quantum-native Sequence Encoder Architecture
Wei-Yen Day
Hao-Sheng Chen
Min Sun
21
0
0
31 Oct 2022
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
14
4
0
25 Oct 2022
Identification of quantum entanglement with Siamese convolutional neural networks and semi-supervised learning
J. Pawłowski
Mateusz Krawczyk
21
2
0
13 Oct 2022
QuAnt: Quantum Annealing with Learnt Couplings
Marcel Seelbach Benkner
Maximilian Krahn
Edith Tretschk
Zorah Lähner
Michael Moeller
Vladislav Golyanik
31
5
0
13 Oct 2022
An efficient combination strategy for hybird quantum ensemble classifier
Xiaoyun Zhang
Ming-Ming Wang
16
4
0
13 Oct 2022
Quark: A Gradient-Free Quantum Learning Framework for Classification Tasks
Zhihao Zhang
Zhuoming Chen
Heyang Huang
Zhihao Jia
44
2
0
02 Oct 2022
Scalable Quantum Neural Networks for Classification
Jindi Wu
Zeyi Tao
Qun Li
GNN
22
17
0
04 Aug 2022
Verifying Fairness in Quantum Machine Learning
J. Guan
Wang Fang
Mingsheng Ying
FaML
24
11
0
22 Jul 2022
The Free Energy Principle drives neuromorphic development
C. Fields
Karl J. Friston
J. Glazebrook
Michael Levin
A. Marcianò
35
14
0
20 Jul 2022
Federated Learning with Quantum Secure Aggregation
Yichi Zhang
Chao Zhang
Cai Zhang
Lixin Fan
B. Zeng
Qiang Yang
FedML
13
23
0
09 Jul 2022
Quantum Approximation of Normalized Schatten Norms and Applications to Learning
Yiyou Chen
Hideyuki Miyahara
Louis-S. Bouchard
V. Roychowdhury
18
2
0
23 Jun 2022
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
31
82
0
07 Jun 2022
Quantum Neural Network Classifiers: A Tutorial
Weikang Li
Zhide Lu
D. Deng
11
32
0
06 Jun 2022
Evolution strategies: Application in hybrid quantum-classical neural networks
Lucas Friedrich
Jonas Maziero
21
8
0
17 May 2022
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
Toward Physically Realizable Quantum Neural Networks
Mohsen Heidari
A. Grama
Wojtek Szpankowski
18
12
0
22 Mar 2022
Quantum Neural Networks -- Computational Field Theory and Dynamics
C. Gonccalves
AI4CE
16
2
0
19 Mar 2022
projUNN: efficient method for training deep networks with unitary matrices
B. Kiani
Randall Balestriero
Yann LeCun
S. Lloyd
43
32
0
10 Mar 2022
Quantum neural networks force fields generation
Oriel Kiss
F. Tacchino
S. Vallecorsa
I. Tavernelli
AI4CE
27
19
0
09 Mar 2022
Optimal quantum dataset for learning a unitary transformation
Zhan Yu
Xuanqiang Zhao
Benchi Zhao
Xin Wang
24
8
0
01 Mar 2022
Quantum Lazy Training
E. Abedi
Salman Beigi
Leila Taghavi
24
6
0
16 Feb 2022
Quantum activation functions for quantum neural networks
Marco Maronese
C. Destri
E. Prati
AI4CE
11
31
0
10 Jan 2022
A Hybrid Quantum-Classical Neural Network Architecture for Binary Classification
Davis Arthur
Prasanna Date
16
29
0
05 Jan 2022
Quantum Capsule Networks
Zidu Liu
Pei-Xin Shen
Weikang Li
L. Duan
D. Deng
GNN
46
18
0
05 Jan 2022
Variational Quantum Soft Actor-Critic
Qingfeng Lan
22
20
0
20 Dec 2021
Experimental quantum advantage with quantum coupon collector
Min-Gang Zhou
Xiao-Yu Cao
Yu-Shuo Lu
Yang Wang
Yu Bao
Zhao Jia
Yao Fu
Hua‐Lei Yin
Zeng-Bing Chen
17
31
0
15 Dec 2021
A Case For Noisy Shallow Gate-Based Circuits In Quantum Machine Learning
Patrick Selig
Niall Murphy
Ashwin Sundareswaran R
D. Redmond
Simon Caton
11
3
0
13 Dec 2021
Subtleties in the trainability of quantum machine learning models
Supanut Thanasilp
Samson Wang
Nhat A. Nghiem
Patrick J. Coles
M. Cerezo
38
61
0
27 Oct 2021
Image Compression and Classification Using Qubits and Quantum Deep Learning
Ali Mohsen
Mo Tiwari
14
12
0
08 Oct 2021
lambeq: An Efficient High-Level Python Library for Quantum NLP
Dimitri Kartsaklis
Ian Fan
Richie Yeung
A. Pearson
Robin Lorenz
Alexis Toumi
G. Felice
K. Meichanetzidis
S. Clark
B. Coecke
14
69
0
08 Oct 2021
Theory of overparametrization in quantum neural networks
Martín Larocca
Nathan Ju
Diego García-Martín
Patrick J. Coles
M. Cerezo
43
188
0
23 Sep 2021
On Circuit-based Hybrid Quantum Neural Networks for Remote Sensing Imagery Classification
A. Sebastianelli
Daniela A. Zaidenberg
D. Spiller
Bertrand Le Saux
Silvia Liberata Ullo
20
90
0
20 Sep 2021
Quantum Machine Learning for Finance
Marco Pistoia
Syed Farhan Ahmad
Akshay Ajagekar
A. Buts
Shouvanik Chakrabarti
...
Pierre Minssen
Pradeep Niroula
Arthur G. Rattew
Yue Sun
Romina Yalovetzky
AIFin
31
22
0
09 Sep 2021
Entangled Datasets for Quantum Machine Learning
Louis Schatzki
A. Arrasmith
Patrick J. Coles
M. Cerezo
33
58
0
08 Sep 2021
Can Error Mitigation Improve Trainability of Noisy Variational Quantum Algorithms?
Samson Wang
Piotr Czarnik
A. Arrasmith
M. Cerezo
L. Cincio
Patrick J. Coles
68
81
0
02 Sep 2021
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