Quantum Machine Learning
4,297 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 2629-2640 of 4,297
Toward Quantum Noses: Quantum Chemosensing Based on Molecular Qubits in Metal-Organic Frameworks.
Yamauchi A, Yanai N.
Towards structure-preserving quantum encodings
Arthur J. Parzygnat, Tai-Danae Bradley, Andrew Vlasic, Anh Pham
Towards View-based Development of Quantum Software
Joshua Ammermann, Wolfgang Mauerer, Ina Schaefer
Trade-off between Gradient Measurement Efficiency and Expressivity in Deep Quantum Neural Networks
Koki Chinzei, Shinichiro Yamano, Quoc Hoan Tran, Yasuhiro Endo, Hirotaka Oshima
Trainability issues in quantum policy gradients
André Sequeira, Luis Paulo Santos, Luis Soares Barbosa
Training-efficient density quantum machine learning
Brian Coyle, Snehal Raj, Natansh Mathur, El Amine Cherrat, Nishant Jain, Skander Kazdaghli, Iordanis Kerenidis
TRANSFORMING SPEECH THERAPY FOR CHILDREN WITH AUTISM THROUGH A VIRTUAL APPLIED BEHAVIOR ANALYSIS APPROACH
MAZLINA MAMAT, MARLYN MASERI, HOE TUNG YEW, ZULAYTI ZAKARIA
Transpiling Quantum Assembly Language Circuits to a Qudit Form.
Drozhzhin DA, Nikolaeva AS, Kiktenko EO, Fedorov AK.
Tutorial on Quantum Error Correction for 2024 Quantum Information Knowledge (QuIK) Workshop
Priya J. Nadkarni, Narayanan Rengaswamy, Bane Vasić
Unconventional geometric quantum computation robust to residual crosstalk in a superconducting circuit
Ying Hong, Fei-Fan Cui, Li-Na Ji, Zheng-Yuan Xue, Tao Chen
Understanding Cyclists’ Visual Behavior Using Eye-Tracking Technology: A Systematic Review
Fatima Kchour, Salvatore Cafiso, Giuseppina Pappalardo
Understanding Generalization in Quantum Machine Learning with Margins
Tak Hur, Daniel K. Park