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.
Showing 3505-3516 of 3,957
Deep Reinforcement Learning Control of Quantum Cartpoles
Zhikang T. Wang, Yuto Ashida, Masahito Ueda
2019
arXiv
arXiv preprint
Dynamic Concatenation of Quantum Error Correction in Integrated Quantum Computing Architecture.
Sohn I, Bang J, Heo J.
2019
Europe PMC
Sci Rep
Eigenstate extraction with neural-network tomography
Abhijeet Melkani, Clemens Gneiting, Franco Nori
2019
arXiv
arXiv preprint
Encrypt me! A game-based approach to Bell inequalities and quantum cryptography
Andrea López-Incera, Andreas Hartmann, Wolfgang Dür
2019
arXiv
arXiv preprint
Entaglement-Based Quantum Mean Estimator Circuit
Amanuel Tamirat
2019
arXiv
arXiv preprint
Evaluation of the spectrum of a quantum system using machine learning based on incomplete information about the wavefunctions
Gennadiy Burlak
2019
arXiv
arXiv preprint
Experimental Measurement of the Hilbert-Schmidt Distance between Two-Qubit States as a Means for Reducing the Complexity of Machine Learning.
Trávníček V, Bartkiewicz K, Černoch A, Lemr K.
2019
Europe PMC
Phys Rev Lett
Experimental quantum kernel machine learning with nuclear spins in a solid
Takeru Kusumoto, Kosuke Mitarai, Keisuke Fujii, Masahiro Kitagawa, Makoto Negoro
2019
arXiv
arXiv preprint
Experimentally attacking quantum money schemes based on quantum retrieval games.
Jiráková K, Bartkiewicz K, Černoch A, Lemr K.
2019
Europe PMC
Sci Rep
Fairness evaluation during the conceptual design of heat grids with quantum annealers
Kelvin Loh
2019
arXiv
arXiv preprint
Gaussian Process Regression Models for the Prediction of Hydrogen Bond Acceptor Strengths.
Bauer CA, Schneider G, Göller AH
2019
PubMed
Molecular informatics
Geometry of learning neural quantum states
Chae-Yeun Park, Michael J. Kastoryano
2019
arXiv
arXiv preprint