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 3325-3336 of 3,957
Homomorphic Encryption for Quantum Annealing with Spin Reversal Transformations
Daniel O'Malley, John K. Golden
How a Quantum Computer Could Solve a Microkinetic Model
Eric A. Walker, Shreyas Addamane Pallathadka
How to enhance quantum generative adversarial learning of noisy information
Paolo Braccia, Filippo Caruso, Leonardo Banchi
Hybrid quantum-classical classifier based on tensor network and variational quantum circuit
Samuel Yen-Chi Chen, Chih-Min Huang, Chia-Wei Hsing, Ying-Jer Kao
Hybrid quantum-classical unsupervised data clustering based on the self-organizing feature map
Ilia D. Lazarev, Marek Narozniak, Tim Byrnes, Alexey N. Pyrkov
Image Classification via Quantum Machine Learning
Héctor Iván García Hernández, Raymundo Torres Ruiz, Guo-Hua Sun
Implementation of a Hamming distance-like genomic quantum classifier using inner products on ibmqx2 and ibmq_16_melbourne.
Kathuria K, Ratan A, McConnell M, Bekiranov S.
Implementing Bilinear Interpolation on Quantum Images
Fei Yan, Shan Zhao, Salvador E. Venegas-Andraca
Information Processing Capacity of Spin-Based Quantum Reservoir Computing Systems
R. Martínez-Peña, J. Nokkala, G. L. Giorgi, R. Zambrini, M. C. Soriano
Interpretable and unsupervised phase classification
Julian Arnold, Frank Schäfer, Martin Žonda, Axel U. J. Lode
Introducing Materials for Quantum Technology
Jason M Smith
Ising formulations of routing optimization problems
Daniel Jaroszewski, Fabian Klos, Benedikt Sturm