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.

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

Showing 2497-2508 of 3,957

Investigating Imperfect Cloning for Extending Quantum Communication Capabilities.

Iqbal M, Velasco L, Costa N, Napoli A, Pedro J, Ruiz M.

2023 Europe PMC Sensors (Basel)

Investigation of factors regarding the effects of COVID-19 pandemic on college students' depression by quantum annealer

Junggu Choi, Kion Kim, Soohyun Park, Juyoen Hur, Hyunjung Yang, Younghoon Kim, Hakbae Lee, Sanghoon Han

2023 arXiv arXiv preprint

Investing in the Quantum Future : State of Play and Way Forward for Quantum Venture Capital

Christophe Jurczak

2023 arXiv arXiv preprint

Iteration-Dependent Scaled Min-Sum Decoding for Low-Complexity Key Reconciliation in CV-QKD

Erdem Eray Cil, Laurent Schmalen

2023 arXiv arXiv preprint

Kernel Alignment for Quantum Support Vector Machines Using Genetic Algorithms

Floyd M. Creevey, Jamie A. Heredge, Martin E. Sevior, Lloyd C. L. Hollenberg

2023 arXiv arXiv preprint

Learning quantum states and unitaries of bounded gate complexity

Haimeng Zhao, Laura Lewis, Ishaan Kannan, Yihui Quek, Hsin-Yuan Huang, Matthias C. Caro

2023 arXiv arXiv preprint

Learning quantum systems via out-of-time-order correlators

Thomas Schuster, Murphy Niu, Jordan Cotler, Thomas O'Brien, Jarrod R. McClean, Masoud Mohseni

2023 Crossref Physical Review Research

Learning Restricted Boltzmann Machines with greedy quantum search

Liming Zhao, Aman Agrawal, Patrick Rebentrost

2023 arXiv arXiv preprint

Learning to Decode the Surface Code with a Recurrent, Transformer-Based Neural Network

Johannes Bausch, Andrew W Senior, Francisco J H Heras, Thomas Edlich, Alex Davies, Michael Newman, Cody Jones, Kevin Satzinger, Murphy Yuezhen Niu, Sam Blackwell, George Holland, Dvir Kafri, Juan Atalaya, Craig Gidney, Demis Hassabis, Sergio Boixo, Hartmut Neven, Pushmeet Kohli

2023 arXiv arXiv preprint

Learning unitaries with quantum statistical queries

Armando Angrisani

2023 arXiv arXiv preprint

Let Quantum Neural Networks Choose Their Own Frequencies

Ben Jaderberg, Antonio A. Gentile, Youssef Achari Berrada, Elvira Shishenina, Vincent E. Elfving

2023 arXiv arXiv preprint

Leveraging Quantum Machine Learning for Actuarial Predictions in Health Insurance

Associate Professor, Department of Machine Learning, University of Toronto, Canada, Jessica Taylor

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