Quantum Machine Learning

416 papers for year 2023

Quantum Machine Learning Research Context

This category covers quantum machine learning research, including quantum kernels, variational classifiers, hybrid learning systems, generative models, and QML benchmarks.

All years 2026 1318 2025 486 2024 521 2023 416 2022 248 2021 256 2020 237 2019 101 2018 88 2017 58 2016 46 2015 33 2014 32 2013 34 2012 6 2011 15 2010 21 2009 4 2007 19 2006 4 2004 3 2003 2 2002 2 1999 6 1998 1
All sources 416 arXiv preprints 328 Crossref 63 Europe PMC 15 PubMed 2 DOAJ 8

Showing 229-240 of 416

Polylogarithmic-depth controlled-NOT gates without ancilla qubits

Baptiste Claudon, Julien Zylberman, César Feniou, Fabrice Debbasch, Alberto Peruzzo, Jean-Philip Piquemal

2023 arXiv arXiv preprint

Potential and limitations of random Fourier features for dequantizing quantum machine learning

Ryan Sweke, Erik Recio-Armengol, Sofiene Jerbi, Elies Gil-Fuster, Bryce Fuller, Jens Eisert, Johannes Jakob Meyer

2023 arXiv arXiv preprint

Potential Energy Advantage of Quantum Economy

Junyu Liu, Hansheng Jiang, Zuo-Jun Max Shen

2023 arXiv arXiv preprint

Power of quantum measurement in simulating unphysical operations

Xuanqiang Zhao, Lei Zhang, Benchi Zhao, Xin Wang

2023 arXiv arXiv preprint

Practical application of quantum neural network to materials informatics: prediction of the melting points of metal oxides

Hirotoshi Hirai

2023 arXiv arXiv preprint

Practical Trainable Temporal Postprocessor for Multistate Quantum Measurement

Saeed A. Khan, Ryan Kaufman, Boris Mesits, Michael Hatridge, Hakan E. Türeci

2023 arXiv arXiv preprint

Predicting Expressibility of Parameterized Quantum Circuits using Graph Neural Network

Shamminuj Aktar, Andreas Bärtschi, Abdel-Hameed A. Badawy, Diane Oyen, Stephan Eidenbenz

2023 arXiv arXiv preprint

Predicting the Onset of Quantum Synchronization Using Machine Learning

Felipe Mahlow, Barış Çakmak, Göktuğ Karpat, İskender Yalçınkaya, Felipe Fanchini

2023 arXiv arXiv preprint

Preparing AI-Powered Healthcare Security Systems to be Resilient Against Quantum Computing Threats

Gaurang Deshpande

2023 Crossref Scholars Journal of Engineering and Technology

Privacy-preserving quantum federated learning via gradient hiding

Changhao Li, Niraj Kumar, Zhixin Song, Shouvanik Chakrabarti, Marco Pistoia

2023 arXiv arXiv preprint

Probability vector representation of the Schrödinger equation and Leggett-Garg-type experiments

Masahiro Hotta, Sebastian Murk

2023 arXiv arXiv preprint

Provable Advantage in Quantum PAC Learning

Wilfred Salmon, Sergii Strelchuk, Tom Gur

2023 arXiv arXiv preprint
← Previous
1 ... 18 19 20 21 22 ... 35
Next →