Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
1902.10445
Cited By
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
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Efficient Learning for Deep Quantum Neural Networks"
50 / 162 papers shown
Intrinsic preservation of plasticity in continual quantum learning
International Conference on Machine Learning (ICML), 2024
Yu-Qin Chen
Shi-Xin Zhang
CLL
301
1
0
21 Nov 2025
Taming Barren Plateaus in Arbitrary Parameterized Quantum Circuits without Sacrificing Expressibility
Zhenyu Chen
Yuguo Shao
Zhengwei Liu
Zhaohui Wei
297
0
0
17 Nov 2025
Hybrid Quantum-Classical Selective State Space Artificial Intelligence
Amin Ebrahimi
Farzan Haddadi
Mamba
204
0
0
11 Nov 2025
Superpositional Gradient Descent: Harnessing Quantum Principles for Model Training
Ahmet Erdem Pamuk
Emir Kaan Özdemir
Şuayp Talha Kocabay
139
0
0
01 Nov 2025
Superior resilience to poisoning and amenability to unlearning in quantum machine learning
Yu-Qin Chen
Shi-Xin Zhang
AAML
203
4
0
04 Aug 2025
TensorHyper-VQC: A Tensor-Train-Guided Hypernetwork for Robust and Scalable Variational Quantum Computing
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
Min-hsiu Hsieh
263
0
0
01 Aug 2025
Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
Sebastián A. Cajas Ordóñez
Luis Fernando Torres Torres
Mario Bifulco
Carlos Andrés Durán
Cristian Bosch
Ricardo Simón Carbajo
216
0
0
28 Jul 2025
Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models
Gaurav Srivastava
Aafiya Hussain
Sriram Srinivasan
Xuan Wang
LRM
ELM
260
1
0
05 Jul 2025
VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning
Jun Qi
Chao-Han Huck Yang
Pin-Yu Chen
Min-hsiu Hsieh
499
0
0
12 Jun 2025
Genetic Transformer-Assisted Quantum Neural Networks for Optimal Circuit Design
Haiyan Wang
181
0
0
10 Jun 2025
Quantum computing and artificial intelligence: status and perspectives
Giovanni Acampora
Andris Ambainis
Natalia Ares
Leonardo Banchi
Pallavi Bhardwaj
...
Markus Schmitt
Philipp Slusallek
Filippo Vicentini
Christof Weitenberg
Frank K. Wilhelm
419
1
0
29 May 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
521
5
0
13 May 2025
QFDNN: A Resource-Efficient Variational Quantum Feature Deep Neural Networks for Fraud Detection and Loan Prediction
IEEE Transactions on Computational Social Systems (IEEE TCSS), 2025
Subham Das
Ashtakala Meghanath
Bikash K. Behera
Shahid Mumtaz
Saif Al-Kuwari
Ahmed Farouk
236
5
0
28 Apr 2025
Compton Form Factor Extraction using Quantum Deep Neural Networks
Brandon Le
Dustin Keller
3DPC
263
0
0
21 Apr 2025
Trainable Quantum Neural Network for Multiclass Image Classification with the Power of Pre-trained Tree Tensor Networks
Keisuke Murota
Takumi Kobori
286
0
0
21 Apr 2025
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks
Georgios Papadopoulos
Shaltiel Eloul
Yash Satsangi
Jamie Heredge
Niraj Kumar
Chun-Fu Chen
Marco Pistoia
455
2
0
17 Apr 2025
A Quantum of Learning: Using Quaternion Algebra to Model Learning on Quantum Devices
International Conference on Digital Signal Processing (DSP), 2025
S. Talebi
C. C. Took
Danilo P. Mandic
159
0
0
17 Apr 2025
Quantitative Evaluation of Quantum/Classical Neural Network Using a Game Solver Metric
Suzukaze Kamei
Hideaki Kawaguchi
Shin Nishio
Tatakahiko Satoh
GNN
328
0
0
27 Mar 2025
QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs
Afrah Farea
Saiful Khan
Mustafa Serdar Celebi
PINN
794
13
0
20 Mar 2025
Thermodynamic bounds on energy use in quasi-static Deep Neural Networks
Alexei V. Tkachenko
PINN
AI4CE
217
0
0
13 Mar 2025
Transforming Traditional Neural Networks into Neuromorphic Quantum-Cognitive Models: A Tutorial with Applications
Milan Maksimovic
Ivan S. Maksymov
362
0
0
10 Mar 2025
QFAL: Quantum Federated Adversarial Learning
Walid El Maouaki
Nouhaila Innan
Alberto Marchisio
Taoufik Said
Muhammad Shafique
Mohamed Bennai
FedML
336
12
0
28 Feb 2025
Quantum automated learning with provable and explainable trainability
Qi Ye
Shuangyue Geng
Zizhao Han
Weikang Li
L. Duan
D. Deng
281
6
0
07 Feb 2025
Stability and Generalization of Quantum Neural Networks
Jiaqi Yang
Wei Xie
Xiaohua Xu
534
5
0
22 Jan 2025
Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory Study
Quantum Machine Intelligence (QMI), 2025
M. Nadim
Mohammad Hassan
Ashis Kumar Mandal
C. Roy
B. Roy
Kevin A. Schneider
333
7
0
08 Jan 2025
AI-Powered Algorithm-Centric Quantum Processor Topology Design
AAAI Conference on Artificial Intelligence (AAAI), 2024
Tian Li
Xiao-Yue Xu
Chen Ding
Tian-Ci Tian
Wei-You Liao
Shuo Zhang
He-Liang Huang
193
0
0
18 Dec 2024
Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits
Jun Qi
Chao-Han Huck Yang
Samuel Yen-Chi Chen
Pin-Yu Chen
Hector Zenil
Jesper Tegner
273
3
0
13 Nov 2024
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2024
Md Abrar Jahin
Md. Akmol Masud
Md Wahiduzzaman Suva
M. F. Mridha
Nilanjan Dey
455
9
0
03 Nov 2024
Quantum Deep Equilibrium Models
Neural Information Processing Systems (NeurIPS), 2024
Philipp Schleich
Marta Skreta
L. B. Kristensen
Rodrigo A. Vargas-Hernández
Alán Aspuru-Guzik
260
4
0
31 Oct 2024
Backdoor Attacks against Hybrid Classical-Quantum Neural Networks
Ji Guo
Wenbo Jiang
Rui Zhang
Wenshu Fan
Jiachen Li
Guoming Lu
AAML
225
8
0
23 Jul 2024
TriQXNet: Forecasting Dst Index from Solar Wind Data Using an Interpretable Parallel Classical-Quantum Framework with Uncertainty Quantification
Md Abrar Jahin
M. F. Mridha
Zeyar Aung
Nilanjan Dey
R. Sherratt
252
3
0
09 Jul 2024
NAC-QFL: Noise Aware Clustered Quantum Federated Learning
Himanshu Sahu
Hari Prabhat Gupta
225
9
0
20 Jun 2024
Quantum Computing in Intelligent Transportation Systems: A Survey
Yifan Zhuang
Talha Azfar
Yinhai Wang
Wei Sun
Xiaokun Wang
Qianwen Guo
Ruimin Ke
414
17
0
02 Jun 2024
Equilibrium Propagation: the Quantum and the Thermal Cases
Quantum Studies: Mathematics and Foundations (QSMF), 2024
Serge Massar
B. Mognetti
245
5
0
14 May 2024
QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection
Nouhaila Innan
Alberto Marchisio
Mohamed Bennai
Muhammad Shafique
752
34
0
03 Apr 2024
FedQNN: Federated Learning using Quantum Neural Networks
Nouhaila Innan
Muhammad Al-Zafar Khan
Alberto Marchisio
Mohamed Bennai
Muhammad Shafique
FedML
260
45
0
16 Mar 2024
Hybrid Quantum-inspired Resnet and Densenet for Pattern Recognition with Completeness Analysis
Andi Chen
Hua‐Lei Yin
Zeng-Bing Chen
Shengjun Wu
201
5
0
09 Mar 2024
A Quantum-Classical Collaborative Training Architecture Based on Quantum State Fidelity
Ryan LÁbbate
Anthony DÓnofrio
S. Stein
Samuel Yen-Chi Chen
Ang Li
Pin-Yu Chen
Juntao Chen
Y. Mao
317
16
0
23 Feb 2024
Spectral invariance and maximality properties of the frequency spectrum of quantum neural networks
Patrick Holzer
Ivica Turkalj
356
4
0
22 Feb 2024
Coherent Feed Forward Quantum Neural Network
Utkarsh Singh
A. Z. Goldberg
K. Heshami
249
4
0
01 Feb 2024
Learning shallow quantum circuits
Hsin-Yuan Huang
Yunchao Liu
Michael Broughton
Isaac Kim
Anurag Anshu
Zeph Landau
Jarrod R. McClean
280
61
0
18 Jan 2024
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum Circuits
International Conference on Quantum Computing and Engineering (QCE), 2023
Tianlong Chen
Zhenyu Zhang
Hanrui Wang
Jiaqi Gu
Zi-Chen Li
David Z. Pan
Frederic T. Chong
Song Han
Zinan Lin
295
0
0
10 Jan 2024
VIOLET: Visual Analytics for Explainable Quantum Neural Networks
Shaolun Ruan
Zhiding Liang
Qian-Guo Guan
Paul Griffin
Xiaolin Wen
Yanna Lin
Yong Wang
263
1
0
23 Dec 2023
Quantum-Inspired Neural Network Model of Optical Illusions
I. Maksymov
337
17
0
06 Dec 2023
Maximising Quantum-Computing Expressive Power through Randomised Circuits
Physical Review Research (Phys. Rev. Res.), 2023
Yingli Yang
Zongkang Zhang
Anbang Wang
Xiaosi Xu
Xiaoting Wang
Ying Li
273
5
0
04 Dec 2023
Bridging Classical and Quantum Machine Learning: Knowledge Transfer From Classical to Quantum Neural Networks Using Knowledge Distillation
Mohammad Junayed Hasan
M.R.C. Mahdy
341
7
0
23 Nov 2023
Hacking Cryptographic Protocols with Advanced Variational Quantum Attacks
ACM Transactions on Quantum Computing (TQC), 2023
Borja Aizpurua
Pablo Bermejo
Josu Etxezarreta Martinez
Roman Orus
298
8
0
06 Nov 2023
Quantum Neural Networks for Power Flow Analysis
Electric power systems research (EPSR), 2023
Zeynab Kaseb
Matthias Möller
G. Balducci
Peter Palensky
Pedro P. Vergara
299
27
0
04 Nov 2023
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients
British Machine Vision Conference (BMVC), 2023
Maximilian Krahn
Michele Sasdelli
Fengyi Yang
Vladislav Golyanik
Arno Solin
Tat-Jun Chin
Tolga Birdal
MQ
454
4
0
23 Oct 2023
Quantum Shadow Gradient Descent for Quantum Learning
Mohsen Heidari
M. Naved
Wenbo Xie
Arjun Jacob Grama
Wojtek Szpankowski
214
0
0
10 Oct 2023
1
2
3
4
Next
Page 1 of 4