Efficient Learning for Deep Quantum Neural Networks

Nature Communications (Nat Commun), 2019

27 February 2019

Papers citing "Efficient Learning for Deep Quantum Neural Networks"

50 / 162 papers shown

Title
Intrinsic preservation of plasticity in continual quantum learningInternational Conference on Machine Learning (ICML), 2024 Yu-Qin Chen Shi-Xin Zhang CLL 195 0 0 21 Nov 2025
Taming Barren Plateaus in Arbitrary Parameterized Quantum Circuits without Sacrificing Expressibility Zhenyu Chen Yuguo Shao Zhengwei Liu Zhaohui Wei 128 0 0 17 Nov 2025
Hybrid Quantum-Classical Selective State Space Artificial Intelligence Amin Ebrahimi Farzan Haddadi Mamba 69 0 0 11 Nov 2025
Superpositional Gradient Descent: Harnessing Quantum Principles for Model Training Ahmet Erdem Pamuk Emir Kaan Özdemir Şuayp Talha Kocabay 44 0 0 01 Nov 2025
Superior resilience to poisoning and amenability to unlearning in quantum machine learning Yu-Qin Chen Shi-Xin Zhang AAML 116 3 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 122 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 118 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 120 0 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 327 0 0 12 Jun 2025
Genetic Transformer-Assisted Quantum Neural Networks for Optimal Circuit Design Haiyan Wang 111 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 282 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 385 3 0 13 May 2025
QFDNN: A Resource-Efficient Variational Quantum Feature Deep Neural Networks for Fraud Detection and Loan PredictionIEEE Transactions on Computational Social Systems (IEEE TCSS), 2025 Subham Das Ashtakala Meghanath Bikash K. Behera Shahid Mumtaz Saif Al-Kuwari Ahmed Farouk 136 1 0 28 Apr 2025
Compton Form Factor Extraction using Quantum Deep Neural Networks Brandon Le Dustin Keller 3DPC 145 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 207 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 292 1 0 17 Apr 2025
A Quantum of Learning: Using Quaternion Algebra to Model Learning on Quantum DevicesInternational Conference on Digital Signal Processing (DSP), 2025 S. Talebi C. C. Took Danilo P. Mandic 108 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 198 0 0 27 Mar 2025
QCPINN: Quantum-Classical Physics-Informed Neural Networks for Solving PDEs Afrah Farea Saiful Khan Mustafa Serdar Celebi PINN 522 8 0 20 Mar 2025
Thermodynamic bounds on energy use in quasi-static Deep Neural Networks Alexei V. Tkachenko PINN AI4CE 154 0 0 13 Mar 2025
Transforming Traditional Neural Networks into Neuromorphic Quantum-Cognitive Models: A Tutorial with Applications Milan Maksimovic Ivan S. Maksymov 196 0 0 10 Mar 2025
QFAL: Quantum Federated Adversarial Learning Walid El Maouaki Nouhaila Innan Alberto Marchisio Taoufik Said Muhammad Shafique Mohamed Bennai FedML 209 10 0 28 Feb 2025
Quantum automated learning with provable and explainable trainability Qi Ye Shuangyue Geng Zizhao Han Weikang Li L. Duan D. Deng 182 5 0 07 Feb 2025
Stability and Generalization of Quantum Neural Networks Jiaqi Yang Wei Xie Xiaohua Xu 302 4 0 22 Jan 2025
Comparative Analysis of Quantum and Classical Support Vector Classifiers for Software Bug Prediction: An Exploratory StudyQuantum Machine Intelligence (QMI), 2025 M. Nadim Mohammad Hassan Ashis Kumar Mandal C. Roy B. Roy Kevin A. Schneider 183 4 0 08 Jan 2025
AI-Powered Algorithm-Centric Quantum Processor Topology DesignAAAI Conference on Artificial Intelligence (AAAI), 2024 Tian Li Xiao-Yue Xu Chen Ding Tian-Ci Tian Wei-You Liao Shuo Zhang He-Liang Huang 125 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 195 1 0 13 Nov 2024
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy PhysicsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2024 Md Abrar Jahin Md. Akmol Masud Md Wahiduzzaman Suva M. F. Mridha Nilanjan Dey 352 6 0 03 Nov 2024
Quantum Deep Equilibrium ModelsNeural Information Processing Systems (NeurIPS), 2024 Philipp Schleich Marta Skreta L. B. Kristensen Rodrigo A. Vargas-Hernández Alán Aspuru-Guzik 168 2 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 134 5 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 156 3 0 09 Jul 2024
NAC-QFL: Noise Aware Clustered Quantum Federated Learning Himanshu Sahu Hari Prabhat Gupta 166 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 243 14 0 02 Jun 2024
Equilibrium Propagation: the Quantum and the Thermal CasesQuantum Studies: Mathematics and Foundations (QSMF), 2024 Serge Massar B. Mognetti 166 4 0 14 May 2024
QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection Nouhaila Innan Alberto Marchisio Mohamed Bennai Muhammad Shafique 553 26 0 03 Apr 2024
FedQNN: Federated Learning using Quantum Neural Networks Nouhaila Innan Muhammad Al-Zafar Khan Alberto Marchisio Mohamed Bennai Muhammad Shafique FedML 151 33 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 131 3 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 157 14 0 23 Feb 2024
Spectral invariance and maximality properties of the frequency spectrum of quantum neural networks Patrick Holzer Ivica Turkalj 210 2 0 22 Feb 2024
Coherent Feed Forward Quantum Neural Network Utkarsh Singh A. Z. Goldberg K. Heshami 127 3 0 01 Feb 2024
Learning shallow quantum circuits Hsin-Yuan Huang Yunchao Liu Michael Broughton Isaac Kim Anurag Anshu Zeph Landau Jarrod R. McClean 173 52 0 18 Jan 2024
QuantumSEA: In-Time Sparse Exploration for Noise Adaptive Quantum CircuitsInternational 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 200 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 170 1 0 23 Dec 2023
Quantum-Inspired Neural Network Model of Optical Illusions I. Maksymov 266 14 0 06 Dec 2023
Maximising Quantum-Computing Expressive Power through Randomised CircuitsPhysical Review Research (Phys. Rev. Res.), 2023 Yingli Yang Zongkang Zhang Anbang Wang Xiaosi Xu Xiaoting Wang Ying Li 135 4 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 268 6 0 23 Nov 2023
Hacking Cryptographic Protocols with Advanced Variational Quantum AttacksACM Transactions on Quantum Computing (TQC), 2023 Borja Aizpurua Pablo Bermejo Josu Etxezarreta Martinez Roman Orus 190 7 0 06 Nov 2023
Quantum Neural Networks for Power Flow AnalysisElectric power systems research (EPSR), 2023 Zeynab Kaseb Matthias Möller G. Balducci Peter Palensky Pedro P. Vergara 161 21 0 04 Nov 2023
Projected Stochastic Gradient Descent with Quantum Annealed Binary GradientsBritish Machine Vision Conference (BMVC), 2023 Maximilian Krahn Michele Sasdelli Fengyi Yang Vladislav Golyanik Arno Solin Tat-Jun Chin Tolga Birdal MQ 369 3 0 23 Oct 2023
Quantum Shadow Gradient Descent for Quantum Learning Mohsen Heidari M. Naved Wenbo Xie Arjun Jacob Grama Wojtek Szpankowski 119 0 0 10 Oct 2023