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 3613-3624 of 3,957

Further Limitations on Information-Theoretically Secure Quantum Homomorphic Encryption

Michael Newman

2018 arXiv arXiv preprint

General modeling framework for quantum photodetectors

Steve M. Young, Mohan Sarovar, François Léonard

2018 Crossref Physical Review A

Generalization of the output of variational quantum eigensolver by parameter interpolation with low-depth ansatz

Kosuke Mitarai, Tennin Yan, Keisuke Fujii

2018 arXiv arXiv preprint

Generative model benchmarks for superconducting qubits

Kathleen E. Hamilton, Eugene F. Dumitrescu, Raphael C. Pooser

2018 arXiv arXiv preprint

Hardening quantum machine learning against adversaries

Nathan Wiebe, Ram Shankar Siva Kumar

2018 Crossref New Journal of Physics

High-dimensional quantum encoding via photon-subtracted squeezed states

Francesco Arzani, Alessandro Ferraro, Valentina Parigi

2018 arXiv arXiv preprint

Implementation of an efficient linear-optical quantum router.

Bartkiewicz K, Černoch A, Lemr K.

2018 Europe PMC Sci Rep

Improved Quantum Multicollision-Finding Algorithm

Akinori Hosoyamada, Yu Sasaki, Seiichiro Tani, Keita Xagawa

2018 arXiv arXiv preprint

Improvement of optical image by measurement reduction technique at parametric multiplexing

D. A. Balakin, A. S. Chirkin

2018 arXiv arXiv preprint

Learning Robust and High-Precision Quantum Controls

Re-Bing Wu, Haijin Ding, Daoyi Dong, Xiaoting Wang

2018 arXiv arXiv preprint

Logical structures underlying quantum computing

Federico Holik, Giuseppe Sergioli, Hector Freytes, Angelo Plastino

2018 arXiv arXiv preprint

Machine Learning for Optimal Parameter Prediction in Quantum Key Distribution

Wenyuan Wang, Hoi-Kwong Lo

2018 arXiv arXiv preprint