Quantum Machine Learning

3,957 papers

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.

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Showing 2557-2568 of 3,957

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

Provable advantages of kernel-based quantum learners and quantum preprocessing based on Grover's algorithm

Till Muser, Elias Zapusek, Vasilis Belis, Florentin Reiter

2023 arXiv arXiv preprint

Provable bounds for noise-free expectation values computed from noisy samples

Samantha V. Barron, Daniel J. Egger, Elijah Pelofske, Andreas Bärtschi, Stephan Eidenbenz, Matthis Lehmkuehler, Stefan Woerner

2023 arXiv arXiv preprint

Pulsar Classification: Comparing Quantum Convolutional Neural Networks and Quantum Support Vector Machines

Donovan Slabbert, Matt Lourens, Francesco Petruccione

2023 arXiv arXiv preprint
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