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
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Showing 49-60 of 416

Ansatz-Agnostic Exponential Resource Saving in Variational Quantum Algorithms Using Shallow Shadows

Afrad Basheer, Yuan Feng, Christopher Ferrie, Sanjiang Li

2023 arXiv arXiv preprint

APPLICATION OF QUANTUM ALGORITHMS IN THE SYNTHESIS OF DYNAMIC OBJECTS

Noilakhon Yakubova

2023 Crossref Chemical Technology, Control and Management

Application of quantum neural network model to a multivariate regression problem

Hirotoshi Hirai

2023 arXiv arXiv preprint

Application-Oriented Benchmarking of Quantum Generative Learning Using QUARK

Florian J. Kiwit, Marwa Marso, Philipp Ross, Carlos A. Riofrío, Johannes Klepsch, Andre Luckow

2023 arXiv arXiv preprint

Approximately Equivariant Quantum Neural Network for $p4m$ Group Symmetries in Images

Su Yeon Chang, Michele Grossi, Bertrand Le Saux, Sofia Vallecorsa

2023 arXiv arXiv preprint

Approximation algorithms for noncommutative CSPs

Eric Culf, Hamoon Mousavi, Taro Spirig

2023 arXiv arXiv preprint

Bayesian Modelling Approaches for Quantum States -- The Ultimate Gaussian Process States Handbook

Yannic Rath

2023 arXiv arXiv preprint

Benchmarking machine learning models for quantum state classification

Edoardo Pedicillo, Andrea Pasquale, Stefano Carrazza

2023 arXiv arXiv preprint

Benchmarking of universal qutrit gates

David Amaro-Alcalá, Barry C. Sanders, Hubert de Guise

2023 arXiv arXiv preprint

Benefits of Open Quantum Systems for Quantum Machine Learning

María Laura Olivera-Atencio, Lucas Lamata, Jesús Casado-Pascual

2023 arXiv arXiv preprint

Bit Flipping Key Encapsulation for the Post-Quantum Era

Mohammad Reza Nosouhi, Syed Wajid Ali Shah, Lei Pan, Robin Doss

2023 DOAJ IEEE Access

Black-Litterman Portfolio Optimization with Noisy Intermediate-Scale Quantum Computers

Chi-Chun Chen, San-Lin Chung, Hsi-Sheng Goan

2023 arXiv arXiv preprint
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