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 721-732 of 3,957
On the Computational Reproducibility of Human-Computer Interaction
Olga Iarygina, Kasper Anders Søren Hornbæk, Aske ; id_orcid 0000-0003-1827-8513 Mottelson
On the fundamental resource for exponential advantage in quantum channel learning.
Kim M, Oh C.
On the importance of hyperparameters in initializing parameterized quantum circuits
Ankit Kulshrestha, Sarvagya Upadhyay
On The Multi-target Security of Post-Quantum Key Encapsulation Mechanisms
Lewis Glabush, Kathrin Hövelmanns, Douglas Stebila
On the Representational Limits of Quantum-Inspired 1024-D Document Embeddings: An Experimental Evaluation Framework
Dario Maio
One Coordinate at a Time: Convergence Guarantees for Rotosolve in Variational Quantum Algorithms
Sayantan Pramanik, M Girish Chandra
Operational diagnosis of an autonomous quantum thermal machine via non-markovianity and heat currents
Y. Khlifi, K. El Anouz, A. El Allati
Operational Reconstruction of Feynman Rules for Quantum Amplitudes via Composition Algebras
Jens Köplinger, Michael Habeck, Philip Goyal
Optical Tweezers in Emulsion Research: Principles, Advances, and Prospects.
Ma Q, Jin H, Shang X, Pardy T, Scheler O, Bartkova S, Cojoc D, Garoli D, Jin S
Optimal Complexity of Parameterized Quantum Circuits.
Correr GI, Azado PC, Soares-Pinto DO, Carlo GG.
Optimal quantum (r,δ)-locally repairable codes via classical ones
Kun Zhou, Meng Cao
Optimal Quantum Differential Privacy via Fisher Information Spectral Analysis
Justice Owusu Agyemang, Jerry John Kponyo, Elliot Amponsah, Godfred Manu Addo Boakye