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 793-804 of 3,957
Practical integration of machine learning into ab initio calculations and workflows: Accelerating the SCF cycle via density matrix predictions.
Stishenko P, Qian C, Westermayr J, Maurer RJ, Logsdail AJ
Practical Quantum Reservoir Computing in Rydberg Atom Arrays
Dong-Sheng Liu, Qing-Xuan Jie, Chang-Ling Zou, Xi-Feng Ren, Guang-Can Guo
Precise control of InP quantum dot growth via recyclable indium adducts.
Cartlidge AJ, Gazis TA, Pitas UO, Robertson JE, Matthews L, Hollamby MJ, Matthews PD
Predicting antimicrobial peptide properties using enhanced quantum recurrent neural network with self-attention and peephole mechanisms
Yanan Li, Zhimin Wang, Ruipeng Xing, Xuefei Wang, Yongjian Gu
Predicting electronic properties of molecules: a stacking ensemble model for HOMO and LUMO energy estimation.
Mahmoudi O, Kim MH
Predicting excited-state lifetimes in Cobalt(III) polypyridyl complexes: From quantum chemistry to nonadiabatic dynamics
Olga S. Bokareva, Leticia González, Sebastian Mai
Predicting Photoluminescence Quantum Yields of Quantum Dots from Time-Resolved Photoluminescence with Artificial Neural Networks
Logan Smith, Sadia Jannat, Adeyemi Michael Adeboyejo, Taela Brown, Igor Fedin
Predicting quantum ground-state energy by data-driven Koopman analysis of variational parameter nonlinear dynamics
Nobuyuki Okuma
Predictive free energy simulations through hierarchical distillation of quantum Hamiltonians.
Li C, Chan GK
Predictive X-ray spectroscopy of actinide complexes: from HERFD-XANES to RIXS maps via relativistic quantum chemistry
Valérie Vallet, Tamara Shaaban, Robert Polly, Florent Réal, André Severo Pereira Gomes, Wilken Aldair Misael, Hanna Oher, Juliane März, Lucia Amidani, Elena F. Bazarkina, Kristina O. Kvashnina, C. Le Naour, Pier Lorenzo Solari, Timothy G. Burrow, Myrtille O.J.Y. Hunault, Melody Maloubier
Pretreatment Radiation Esophagitis Prediction using Quantum Machine Learning in Esophageal Cancer Patients.
Xie C, Shen Y, He J, Guo M, Mu Y, Li L, Wang W, Dou M, Zhou Y, Zhang J, Ai Y, Jin X.
Pretty Good Measurement for Radiomics: A Quantum-Inspired Multi-Class Classifier for Lung Cancer Subtyping and Prostate Cancer Risk Stratification
Giuseppe Sergioli, Carlo Cuccu, Giovanni Pasini, Alessandro Stefano, Giorgio Russo, Andrés Camilo Granda Arango, Roberto Giuntini