Quantum Machine Learning
416 papers for year 2023
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