Quantum Machine Learning
486 papers for year 2025
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 301-312 of 486
Prediction of Molecular Structures and Properties by Using Quantum Technology
Ravuri Krishna
Prospects for quantum advantage in machine learning from the representability of functions
Sergi Masot-Llima, Elies Gil-Fuster, Carlos Bravo-Prieto, Jens Eisert, Tommaso Guaita
PROSPECTS FOR THE APPLICATION OF QUANTUM COMPUTING IN ONBOARD COMPUTING SYSTEMS OF ROBOTIC COMPLEXES
N.А. Bocharov, N. B. Paramonov
Protecting Quantum Circuits Through Compiler-Resistant Obfuscation
Pradyun Parayil, Amal Raj, Vivek Balachandran
Pseudorandom Function from Learning Burnside Problem
Dhiraj K. Pandey, Antonio R. Nicolosi
Pulsed learning for quantum data re-uploading models
Ignacio B. Acedo, Pablo Rodriguez-Grasa, Pablo Garcia-Azorin, Javier Gonzalez-Conde
Q-BAR: Blogger Anomaly Recognition via Quantum-enhanced Manifold Learning
Maida Wang, Panyun Jiang
Q-RUN: Quantum-Inspired Data Re-uploading Networks
Wenbo Qiao, Shuaixian Wang, Peng Zhang, Yan Ming, Jiaming Zhao
qc-kmeans: A Quantum Compressive K-Means Algorithm for NISQ Devices
Pedro Chumpitaz-Flores, My Duong, Ying Mao, Kaixun Hua
qcMol: a large-scale dataset of 1.2 million molecules with high-quality quantum chemical annotations for molecular representation learning
Gong H, Wang H, Zhang Z.
QCoder Benchmark: Bridging Language Generation and Quantum Hardware through Simulator-Based Feedback
Taku Mikuriya, Tatsuya Ishigaki, Masayuki Kawarada, Shunya Minami, Tadashi Kadowaki, Yohichi Suzuki, Soshun Naito, Shunya Takata, Takumi Kato, Tamotsu Basseda, Reo Yamada, Hiroya Takamura
QDNA-ID Quantum Device Native Authentication
Osamah N. Neamah