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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All sources 3957 arXiv preprints 2660 Crossref 606 OpenAlex 30 Europe PMC 290 PubMed 285 DOAJ 86

Showing 2545-2556 of 3,957

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

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
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