A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead

16 October 2023

Kamila Zaman

Alberto Marchisio

Muhammad Abdullah Hanif

Mohamed Bennai

ArXiv PDF HTML

Papers citing "A Survey on Quantum Machine Learning: Current Trends, Challenges, Opportunities, and the Road Ahead"

33 / 33 papers shown

Title
Cross-Problem Parameter Transfer in Quantum Approximate Optimization Algorithm: A Machine Learning Approach Kien X. Nguyen Bao Bach Ilya Safro 44 1 0 14 Apr 2025
PennyLang: Pioneering LLM-Based Quantum Code Generation with a Novel PennyLane-Centric Dataset Haider Asif Abdul Basit Nouhaila Innan Muhammad Kashif Alberto Marchisio Muhammad Shafique Muhammad Shafique 97 2 0 04 Mar 2025
Robustness and Generalization in Quantum Reinforcement Learning via Lipschitz Regularization Nico Meyer Julian Berberich Christopher Mutschler Daniel D. Scherer 53 1 0 28 Oct 2024
AQ-PINNs: Attention-Enhanced Quantum Physics-Informed Neural Networks for Carbon-Efficient Climate Modeling Siddhant Dutta Nouhaila Innan Sadok Ben Yahia Muhammad Shafique PINN 47 0 0 03 Sep 2024
QADQN: Quantum Attention Deep Q-Network for Financial Market Prediction Siddhant Dutta Nouhaila Innan Alberto Marchisio Sadok Ben Yahia Muhammad Shafique AIFin 56 7 0 06 Aug 2024
Quantum Clustering for Cybersecurity Walid El Maouaki Nouhaila Innan Alberto Marchisio Taoufik Said Muhammad Shafique Muhammad Shafique 101 5 0 05 Aug 2024
QFNN-FFD: Quantum Federated Neural Network for Financial Fraud Detection Nouhaila Innan Alberto Marchisio Mohamed Bennai Muhammad Shafique 71 11 0 03 Apr 2024
FedQNN: Federated Learning using Quantum Neural Networks Nouhaila Innan Muhammad Al-Zafar Khan Alberto Marchisio Mohamed Bennai Muhammad Shafique FedML 58 13 0 16 Mar 2024
ResQuNNs:Towards Enabling Deep Learning in Quantum Convolution Neural Networks Muhammad Kashif Muhammad Shafique 65 4 0 14 Feb 2024
GPT-4 Technical Report OpenAI OpenAI OpenAI Josh Achiam Steven Adler Sandhini Agarwal Lama Ahmad ... Shengjia Zhao Tianhao Zheng Juntang Zhuang William Zhuk Barret Zoph LLMAG MLLM 1.1K 14,179 0 15 Mar 2023
Quantum Recurrent Neural Networks for Sequential Learning Yanan Li Zhimin Wang Rongbing Han S. Shi Jiaxin Li R. Shang Haiyong Zheng Guoqiang Zhong Yongjian Gu 46 29 0 07 Feb 2023
A preprocessing perspective for quantum machine learning classification advantage using NISQ algorithms Javier Mancilla Christophe Pere VLM 46 17 0 28 Aug 2022
CoNLoCNN: Exploiting Correlation and Non-Uniform Quantization for Energy-Efficient Low-precision Deep Convolutional Neural Networks Muhammad Abdullah Hanif G. M. Sarda Alberto Marchisio Guido Masera Maurizio Martina Mohamed Bennai MQ 44 4 0 31 Jul 2022
Concentration of Data Encoding in Parameterized Quantum Circuits Guangxi Li Ruilin Ye Xuanqiang Zhao Xin Wang 41 25 0 16 Jun 2022
Compositional optimization of quantum circuits for quantum kernels of support vector machines E. Torabian R. Krems 28 10 0 25 Mar 2022
Quantum kernels for real-world predictions based on electronic health records Z. Krunic Frederik F. Flöther G. Seegan Nathan Earnest-Noble Omar Shehab 38 37 0 12 Dec 2021
Entangled Datasets for Quantum Machine Learning Louis Schatzki A. Arrasmith Patrick J. Coles M. Cerezo 62 59 0 08 Sep 2021
Quantum Neural Networks: Concepts, Applications, and Challenges Yunseok Kwak Won Joon Yun Soyi Jung Joongheon Kim 39 61 0 02 Aug 2021
A Leap among Quantum Computing and Quantum Neural Networks: A Survey F. V. Massoli Lucia Vadicamo Giuseppe Amato Fabrizio Falchi 50 32 0 06 Jul 2021
Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead Maurizio Capra Beatrice Bussolino Alberto Marchisio Guido Masera Maurizio Martina Mohamed Bennai BDL 77 144 0 21 Dec 2020
Variational Quantum Algorithms M. Cerezo A. Arrasmith Ryan Babbush S. Benjamin Suguru Endo ... Jarrod R. McClean K. Mitarai Xiao Yuan L. Cincio Patrick J. Coles 82 2,513 0 16 Dec 2020
Power of data in quantum machine learning Hsin-Yuan Huang Michael Broughton Masoud Mohseni Ryan Babbush Sergio Boixo Hartmut Neven Jarrod R. McClean 64 644 0 03 Nov 2020
Experimental Quantum Generative Adversarial Networks for Image Generation Heliang Huang Yuxuan Du Mingming Gong You-Wei Zhao Yulin Wu ... Chao Lu Yu-Ao Chen Dacheng Tao Xiaobo Zhu Jian-Wei Pan GAN 38 178 0 13 Oct 2020
Recurrent Quantum Neural Networks Johannes Bausch 41 154 0 25 Jun 2020
TensorFlow Quantum: A Software Framework for Quantum Machine Learning Michael Broughton Guillaume Verdon Trevor McCourt Antonio J. Martinez Jae Hyeon Yoo ... Sergio Boixo Dave Bacon Alan K. Ho Hartmut Neven Masoud Mohseni VLM AI4CE 44 206 0 06 Mar 2020
Robust data encodings for quantum classifiers Ryan Larose Brian Coyle 45 241 0 03 Mar 2020
Solving machine learning optimization problems using quantum computers Venkateswara Dasari Mee Seong Im L. Beshaj AI4CE 36 12 0 17 Nov 2019
Parameterized quantum circuits as machine learning models Marcello Benedetti Erika Lloyd Stefan H. Sack Mattia Fiorentini 72 888 0 18 Jun 2019
Supervised learning with quantum enhanced feature spaces Vojtěch Havlíček A. Córcoles K. Temme A. Harrow A. Kandala J. Chow J. Gambetta 64 1,820 0 30 Apr 2018
$Machine learning \& artificial intelligence in the quantum domain$ Machine learning \& artificial intelligence in the quantum domain Vedran Dunjko Hans J. Briegel 46 345 0 08 Sep 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 246 8,856 0 25 Aug 2017
Quantum machine learning: a classical perspective C. Ciliberto Mark Herbster Alessandro Davide Ialongo Massimiliano Pontil Andrea Rocchetto Simone Severini Leonard Wossnig AI4CE 66 438 0 26 Jul 2017
Fast and Accurate Modeling of Molecular Atomization Energies with Machine Learning M. Rupp A. Tkatchenko K. Müller O. A. von Lilienfeld AI4CE 152 1,587 0 12 Sep 2011