Quantum Machine Learning
4,009 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 1537-1548 of 4,009
General Machine Learning Algorithm for Quantum Teleportation
Allison Brattley, Tomas Opatrny, Kunal K. Das
Generative Adversarial Variational Quantum Kolmogorov-Arnold Network
Hikaru Wakaura
Generative modeling using evolved quantum Boltzmann machines
Mark M. Wilde
Geometric Optimization on Lie Groups: A Lie-Theoretic Explanation of Barren Plateau Mitigation for Variational Quantum Algorithms
Zhehao Yi, Rahul Bhadani
Geometric Parameterization of Kraus Operators with Applications to Quasi Inverse Channels for Multi Qubit Systems
Zain Ateeq, Muhammad Faryad
GEQIE Framework for Rapid Quantum Image Encoding
Rafał Potempa, Michał Kordasz, Józef P. Cyran, Kamil Wereszczyński, Krzysztof Simiński
Good Manufacturing Practice-grade fibronectin for hollow-fiber bioreactor cell manufacture: a mesenchymal stromal cell case study.
Frank ND, Zylberberg E, Roufai MB, Gibb SL, Miller MM
GRAPE.jl: Gradient Ascent Pulse Engineering in Julia
Michael H. Goerz, Sebastián C. Carrasco, Alastair Marshall, Vladimir S. Malinovsky
Graph-Based Bayesian Optimization for Quantum Circuit Architecture Search with Uncertainty Calibrated Surrogates
Prashant Kumar Choudhary, Nouhaila Innan, Muhammad Shafique, Rajeev Singh
Haar random codes attain the quantum Hamming bound, approximately
Fermi Ma, Xinyu Tan, John Wright
Hardware Efficient Quantum Kernels Using Multimode Bulk Acoustic Resonators
Collin C. D. Frink, Chaoyang Ti, Stephen K. Gray, Xu Han, Matthew Otten
HDAC6 mediates NLRP3 inflammasome activation in the pathogenesis of diabetic retinopathy.
Kim JS, Jun JH, Lee J, Park S, Kim E, Hwang SJ, Moon H, Baek SH, Kim HK, Park J, Cho Y, Han J, Kim C, Kim J, Yang HM, Lee C, Chung Y, Lee HJ, Jo DG