Quantum Machine Learning
4,265 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 133-144 of 4,265
Advancing density functional tight-binding method for large organic molecules through equivariant neural networks.
Medrano Sandonas L, Puleva M, Erarslan Z, Parra Payano R, Stöhr M, Cuniberti G, Tkatchenko A
Advancing genomics and integration of multi-omics for precision oncology using quantum machine learning.
Sung JY, Cheong JH
Advancing hybrid quantum neural network for alternating current optimal power flow
Ze Hu, Ziqing Zhu, Linghua Zhu, Xiang Wei, Siqi Bu, Ka Wing Chan
Advancing metal organic frameworks screening and remediation condition optimization for removing persistent organic pollutant via integrated machine learning and theoretical calculation insights.
Wei Z, Jing S, Lü XF, Wang W, Mele G, Yuan K, Ni W, Jiang ZY, Guo Y
Advancing quantum machine learning from conceptual design to practical use
Sivarama Prasad Tera, Ravikumar Chinthaginjala, Xin Zhao, Monia Hamdi
Advantage with quantum reservoir computing in medical insurance and health data analysis
Muhsin Tamturk, Eran Ginossar, Marco Carenzo
Adversarial Learning Game for Intrusion Detection in Quantum Key Distribution
Noureldin Mohamed, Saif Al-Kuwari
Adversarial quantum teleportation
Nehad AttaElmanan AbdElrahim Mabrouk, Barry C Sanders
Agentic multi-fidelity learning of quasiparticle and excitonic properties
Arnab Neogi, Aaron Forde, Christopher A. Lane, Sergei Tretiak, Jian-Xin Zhu
AI Agents for Variational Quantum Circuit Design
Marco Knipfer, Alexander Roman, Konstantin T. Matchev, Katia Matcheva, Sergei Gleyzer
AI digital-twin ecosystem translating gut-microbiome-neuroimmune signals into precision sleep-mood interventions.
Yu X, Fan L, Fan S, Li H
AI driven quantum machine learning for predictive healthcare analytics
Lakshita Aggarwal, Puneet Goswami