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 865-876 of 4,297
Modified quantum dilated convolutional neural network for cancer prediction using gene expression data.
N M, R K, V D, S S
Module Lattice Security (Part II): Module Lattice Reduction via Optimal Sign Selection
Ming-Xing Luo
Module Lattice Security (Part III): Structured CVP Distance on the Log-Unit Lattice
Ming-Xing Luo
Molecular Resonance Identification in Complex Absorbing Potentials via Integrated Quantum Computing and High-Throughput Computing.
Dai J, Vidwans A, Wan EH, Miller AX, Soley MB.
Molecular-level engineering of gel polymer electrolytes in sodium-ion batteries: a comprehensive computational study.
Solook MS, Alamdar S, Zarif M
MolGAN-QRL: a hybrid framework for molecule generation using quantum-enhanced reinforcement learning.
Hergli MI, Harigua-Souiai E.
Molreac-Oxi: An end-to-end deep learning-quantum chemistry platform for •OH reactivity (k(OH)), pathways, and active-site insight.
Shao F, Li W, Liang Z, Wang C, Li T, Wei Z, Xu X
Morphology-Embedded Signatures of Lattice Strain in Ferroelectric BaTiO(3) Thin Films Revealed by Machine Learning.
Yeom S, Jo J, Song H, Myung S, Lee S, Lee H
MPS-VMC: A high-performance matrix product state variational Monte Carlo Solver for ab initio quantum chemistry
Zhiqian Xu, Yangjun Wu, Lizhong Fu, Chu Guo, Honghui Shang
Multi-GPU quantum circuit simulation and the impact of network performance
W. Michael Brown, Anurag Ramesh, Thomas Lubinski, Thien Nguyen, David E. Bernal Neira
Multi-mechanism-driven dual-mode array based on a single PFC-1/QD probe enables AI-assisted on-site identification of biogenic amines and real-time food freshness monitoring.
Yang L, Li S, Guo R, Bai B, Zhang Y, Yan W, Liu S, Zhao S, Lu W, Yang Y
Multi-Mode Quantum Annealing for Variational Autoencoders with General Boltzmann Priors
Gilhan Kim, Daniel K. Park