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 109-120 of 4,265
Accelerating quasiparticle physics: A review on the synergy of machine learning and density functional theory for excitons, polaritons, and plasmons.
Alavi-Rad H, Hassani-Vasmejani M, Bagheri Tagani M
Accurate Hydration Free Energy Calculations for Diverse Organic Molecules With a Machine Learning Force Field.
Xie X, Weber JL, Svensson M, Johnston RC, Harder ED, Jacobson LD
Accurate Machine Learning Interatomic Potentials for Polyacene Molecular Crystals: Application to Single Molecule Host-Guest Systems
Burak Gurlek, Shubham Sharma, Paolo Lazzaroni, Angel Rubio, Mariana Rossi
Accurate Solution‐Phase Thermodynamics via Composite Quantum Chemistry and Machine Learning: Application to Biomass Decomposition
Mikito Fujinami, Akihiko Okubo, Shuhei Ogo, Ayumu Onda, Hiromi Nakai
ACFlow 2.0 : An open source toolkit for analytic continuation of quantum Monte Carlo data
Li Huang
Achieving Optimal-Distance Atom-Loss Correction via Pauli Envelope
Pengyu Liu, Shi Jie Samuel Tan, Eric Huang, Umut A. Acar, Hengyun Zhou, Chen Zhao
Acoustic Cavitation-Induced Unfolding and Solubilization of Velvet Antler Protein for Antioxidant Peptide Release: Substrate Modification Kinetics, Quantum Chemistry, and Keap1/Nrf2-Associated Cellular Responses.
Xin X, Wang H, Park S, Yan C, Li Q, Du R, Li X
Acoustoelectric control of optoelectronic anisotropy for reconfigurable polarimetry.
Jiang C, Gu J, Lu H, Zhou J, Zhang E, Guo J, Zhang C, Xiu F
Adaptive AI-Driven Post-Quantum Cyber Defense Framework for Enterprise and Government Information Systems
N. Chaudhari Dr. Yogesh, M. Koshti Shubham, N. Waghulde Dr. Dhanpal, B. Patil Harshal, A. Patil Sneha
Adaptive directional gradients for parameterised quantum circuits
Brian Coyle, Snehal Raj, Virag Umathe, El Amine Cherrat, Elham Kashefi
Adaptive H-EFT-VA: A Provably Safe Trajectory Through the Trainability-Expressibility Landscape of Variational Quantum Algorithms
Eyad I. B. Hamid
Adaptive Negativity Estimation via Collective Measurements
Martin Zeman, Vojtěch Trávníček, Antonín Černoch, Jan Soubusta, Karel Lemr