Quantum Machine Learning

248 papers for year 2022

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All sources 248 arXiv preprints 186 Crossref 34 Europe PMC 16 PubMed 5 DOAJ 7

Showing 181-192 of 248

Quantum Transfer Learning for Real-World, Small, and High-Dimensional Datasets

Soronzonbold Otgonbaatar, Gottfried Schwarz, Mihai Datcu, Dieter Kranzlmüller

2022 arXiv arXiv preprint

Quantum-inspired algorithm applied to extreme learning

Iori Takeda, Souichi Takahira, Kosuke Mitarai, Keisuke Fujii

2022 arXiv arXiv preprint

Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection

Jack Y. Araz, Michael Spannowsky

2022 arXiv arXiv preprint

Quark: A Gradient-Free Quantum Learning Framework for Classification Tasks

Zhihao Zhang, Zhuoming Chen, Heyang Huang, Zhihao Jia

2022 arXiv arXiv preprint

Quaternion-based machine learning on topological quantum systems

Min-Ruei Lin, Wan-Ju Li, Shin-Ming Huang

2022 arXiv arXiv preprint

QuCNN : A Quantum Convolutional Neural Network with Entanglement Based Backpropagation

Samuel A. Stein, Ying Mao, James Ang, Ang Li

2022 arXiv arXiv preprint

quEEGNet: Quantum AI for Biosignal Processing

Toshiaki Koike-Akino, Ye Wang

2022 arXiv arXiv preprint

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation

Hanrui Wang, Pengyu Liu, Jinglei Cheng, Zhiding Liang, Jiaqi Gu, Zirui Li, Yongshan Ding, Weiwen Jiang, Yiyu Shi, Xuehai Qian, David Z. Pan, Frederic T. Chong, Song Han

2022 arXiv arXiv preprint

Reduced relative quantum entropy

Frank Hansen

2022 arXiv arXiv preprint

Representation Theory for Geometric Quantum Machine Learning

Michael Ragone, Paolo Braccia, Quynh T. Nguyen, Louis Schatzki, Patrick J. Coles, Frederic Sauvage, Martin Larocca, M. Cerezo

2022 arXiv arXiv preprint

Reservoir Computing via Quantum Recurrent Neural Networks

Samuel Yen-Chi Chen, Daniel Fry, Amol Deshmukh, Vladimir Rastunkov, Charlee Stefanski

2022 arXiv arXiv preprint

Resolution enhancement of one-dimensional molecular wavefunctions in plane-wave basis via quantum machine learning

Rei Sakuma, Yutaro Iiyama, Lento Nagano, Ryu Sawada, Koji Terashi

2022 arXiv arXiv preprint
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