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 3625-3636 of 3,957

Measurement-based adaptation protocol with quantum reinforcement learning in a Rigetti quantum computer

J. Olivares-Sánchez, J. Casanova, E. Solano, L. Lamata

2018 arXiv arXiv preprint

Measuring distances in Hilbert space by many-particle interference

Karol Bartkiewicz, Vojtěch Trávníček, Karel Lemr

2018 arXiv arXiv preprint

Modelling non-markovian quantum processes with recurrent neural networks

Leonardo Banchi, Edward Grant, Andrea Rocchetto, Simone Severini

2018 Crossref New Journal of Physics

Multiqubit and multilevel quantum reinforcement learning with quantum technologies.

F A Cárdenas-López, L Lamata, J C Retamal, E Solano

2018 DOAJ PLoS ONE

Neural network state estimation for full quantum state tomography

Qian Xu, Shuqi Xu

2018 arXiv arXiv preprint

Nonequilibrium fluctuations of a driven quantum heat engine via machine learning

Sajal Kumar Giri, Himangshu Prabal Goswami

2018 arXiv arXiv preprint

On quantum illumination, quantum reading, and the capacity of quantum computation

Stefano Pirandola

2018 arXiv arXiv preprint

One-out-of-two Quantum Oblivious Transfer based on Nonorthogonal States.

Chou YH, Zeng GJ, Kuo SY.

2018 Europe PMC Sci Rep

Open source software in quantum computing

Mark Fingerhuth, Tomáš Babej, Peter Wittek

2018 arXiv arXiv preprint

Peak Quasar Correlation Across the Sky, and in an Earth-Wide Bell Test

Eric Steinbring

2018 arXiv arXiv preprint

PennyLane: Automatic differentiation of hybrid quantum-classical computations

Ville Bergholm, Josh Izaac, Maria Schuld, Christian Gogolin, Shahnawaz Ahmed, Vishnu Ajith, M. Sohaib Alam, Guillermo Alonso-Linaje, B. AkashNarayanan, Ali Asadi, Juan Miguel Arrazola, Utkarsh Azad, Sam Banning, Carsten Blank, Thomas R Bromley, Benjamin A. Cordier, Jack Ceroni, Alain Delgado, Olivia Di Matteo, Amintor Dusko, Tanya Garg, Diego Guala, Anthony Hayes, Ryan Hill, Aroosa Ijaz, Theodor Isacsson, David Ittah, Soran Jahangiri, Prateek Jain, Edward Jiang, Ankit Khandelwal, Korbinian Kottmann, Robert A. Lang, Christina Lee, Thomas Loke, Angus Lowe, Keri McKiernan, Johannes Jakob Meyer, J. A. Montañez-Barrera, Romain Moyard, Zeyue Niu, Lee James O'Riordan, Steven Oud, Ashish Panigrahi, Chae-Yeun Park, Daniel Polatajko, Nicolás Quesada, Chase Roberts, Nahum Sá, Isidor Schoch, Borun Shi, Shuli Shu, Sukin Sim, Arshpreet Singh, Ingrid Strandberg, Jay Soni, Antal Száva, Slimane Thabet, Rodrigo A. Vargas-Hernández, Trevor Vincent, Nicola Vitucci, Maurice Weber, David Wierichs, Roeland Wiersema, Moritz Willmann, Vincent Wong, Shaoming Zhang, Nathan Killoran

2018 arXiv arXiv preprint

Physical extrapolation of quantum observables by generalization with Gaussian Processes

Rodrigo A. Vargas-Hernández, Roman V. Krems

2018 arXiv arXiv preprint
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