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 3673-3684 of 3,957
A Quantum Extension of Variational Bayes Inference
Hideyuki Miyahara, Yuki Sughiyama
An Efficient Methodology for Mapping Quantum Circuits to the IBM QX Architectures
Alwin Zulehner, Alexandru Paler, Robert Wille
An efficient quantum algorithm for generative machine learning
Xun Gao, Zhengyu Zhang, Luming Duan
An improved quantum algorithm for ridge regression
Chao-Hua Yu, Fei Gao, Qiao-Yan Wen
Analysis of the Jun Ishiwara's "The universal meaning of the quantum of action"
Karla Pelogia, Carlos Alexandre Brasil
Application of optimal band-limited control protocols to quantum noise sensing.
Frey VM, Mavadia S, Norris LM, de Ferranti W, Lucarelli D, Viola L, Biercuk MJ.
Basic protocols in quantum reinforcement learning with superconducting circuits.
Lamata L.
Causal Asymmetry in a Quantum World
Jayne Thompson, Andrew J. P. Garner, John R. Mahoney, James P. Crutchfield, Vlatko Vedral, Mile Gu
Classical Homomorphic Encryption for Quantum Circuits
Urmila Mahadev
Compact Neural Networks based on the Multiscale Entanglement Renormalization Ansatz
Andrew Hallam, Edward Grant, Vid Stojevic, Simone Severini, Andrew G. Green
Continuous-variable quantum Gaussian process regression and quantum singular value decomposition of non-sparse low rank matrices
Siddhartha Das, George Siopsis, Christian Weedbrook
Controlled Alternate Quantum Walks based Quantum Hash Function
Dan Li, Yu-Guang Yang, Jing-Lin Bi, Jia-Bin Yuan, Juan Xu