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.

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All sources 416 arXiv preprints 328 Crossref 63 Europe PMC 15 PubMed 2 DOAJ 8

Showing 217-228 of 416

On the expressivity of embedding quantum kernels

Elies Gil-Fuster, Jens Eisert, Vedran Dunjko

2023 arXiv arXiv preprint

On the rank of two-dimensional simplicial distributions

Cihan Okay

2023 arXiv arXiv preprint

One nine availability of a Photonic Quantum Computer on the Cloud toward HPC integration

Nicolas Maring, Andreas Fyrillas, Mathias Pont, Edouard Ivanov, Eric Bertasi, Mario Valdivia, Jean Senellart

2023 arXiv arXiv preprint

Optimization of Credit Score Card Portfolio Based on QUBO Model with Quantum Annealing Algorithm

Siqi Feng, Jinfeng Shi, Rui Zhang, Yuyang Wang, Fan Chen, Xu Wang

2023 Crossref 2023 IEEE International Conference on Electrical, Automation and Computer Engineering (ICEACE)

Optimized continuous dynamical decoupling via differential geometry and machine learning

Nicolas André da Costa Morazotti, Adonai Hilário da Silva, Gabriel Audi, Felipe Fernandes Fanchini, Reginaldo de Jesus Napolitano

2023 arXiv arXiv preprint

Optimizing quantum noise-induced reservoir computing for nonlinear and chaotic time series prediction.

Fry D, Deshmukh A, Chen SY, Rastunkov V, Markov V.

2023 Europe PMC Sci Rep

Optimizing ZX-Diagrams with Deep Reinforcement Learning

Maximilian Nägele, Florian Marquardt

2023 arXiv arXiv preprint

Overcoming the Coherence Time Barrier in Quantum Machine Learning on Temporal Data

Fangjun Hu, Saeed A. Khan, Nicholas T. Bronn, Gerasimos Angelatos, Graham E. Rowlands, Guilhem J. Ribeill, Hakan E. Türeci

2023 arXiv arXiv preprint

Personalized Health Interventions Using AI and Wearable Data: A Data Science Pipeline Approach

Kanpee, Olatunji Olusola Ogundipe

2023 Crossref Artificial Intelligence, Quantum Computing, Robotics, Science and Technology Journal

Photovoltaic power forecasting using quantum machine learning

Asel Sagingalieva, Stefan Komornyik, Arsenii Senokosov, Ayush Joshi, Christopher Mansell, Olga Tsurkan, Karan Pinto, Markus Pflitsch, Alexey Melnikov

2023 arXiv arXiv preprint

Physics informed neural networks learning a two-qubit Hamiltonian

Leonardo K. Castelano, Iann Cunha, Fabricio S. Luiz, Marcelo V. de Souza Prado, Felipe F. Fanchini

2023 arXiv arXiv preprint

Physics-Informed Quantum Machine Learning: Solving nonlinear differential equations in latent spaces without costly grid evaluations

Annie E. Paine, Vincent E. Elfving, Oleksandr Kyriienko

2023 arXiv arXiv preprint
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