Quantum Machine Learning
285 papers from PubMed
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 85-96 of 285
Evaluating MS-ANI vs SS-ANI for Surface Hopping Simulations: A Cyclohexadiene Photochemical Ring-Opening Case Study.
Medhi B, Morang M, Sarma M
Experimental data reuploading with provable enhanced learning capabilities.
Mauser MFX, Four S, Predl LM, Albiero R, Ceccarelli F, Osellame R, Petersen P, Dakić B, Agresti I, Walther P
Expert evaluation of LLM world models: A high-T(c) superconductivity case study.
Guo H, Tikhanovskaya M, Raccuglia P, Vlaskin A, Co C, Liebling DJ, Ellsworth S, Abraham M, Dorfman E, Armitage NP, Feng C, Georges A, Gingras O, Kiese D, Kivelson SA, Oganesyan V, Ramshaw BJ, Sachdev S, Senthil T, Tranquada JM, Brenner MP, Venugopalan S, Kim EA
Explainable machine learning reveals how molecular descriptors govern micropollutant degradation in UV/H(2)O(2) oxidation.
Nurhayati M, Kim S, Lee BJ, Shon HK, Cho J, Lee S
Fe-PNC Nanoenzyme-Enhanced Closed Bipolar Sensing Platform for Sensitive ECL/Fluorescence Detection and Imaging of miRNA-141.
Liu J, Sun M, Fan Y, Li J, Zhou H, Li B
Feasibility Study of (18)F-FDG PET Short-Duration Scan in Underweight Patients with Lung Cancer.
Sagara H, Akamatsu G, Mano C, Inaki A, Inoue K
Fine-tuned phenylboronic acid polymer assembly with tannic acid enables adeno-associated virus to evade and suppress neutralizing antibody responses.
Xiao Y, Honda Y, Matsudaira N, Kinoh H, Shen X, Haochen G, Hayashita-Kinoh H, Gao S, Awaad A, Miura Y, Okada T, Nishiyama N
Fine-Tuning Directional Message Passing Neural Networks: Predicting Properties of Conjugated Organic Polymers with High Accuracy.
Koskin IP, Petrosyan LS, Kazantsev MS
Flexible Framework for Surface Hopping: From Hybrid Schemes for Machine Learning to Benchmarkable Nonadiabatic Dynamics.
Martinka J, Martyka M, Medhi B, Pittner J, Dral PO
Foundation models for atomistic simulation of chemistry and materials.
Yuan EC, Liu Y, Chen J, Zhong P, Raja S, Kreiman T, Vargas S, Xu W, Head-Gordon M, Yang C, Blau SM, Cheng B, Krishnapriyan A, Head-Gordon T
From data to diagnosis: A comprehensive review of machine learning-driven wearable sensors in healthcare.
Zhao M, Liu R, Jin S, Ren B, Zhang Q
Generative AI-Driven Discovery of Next-Generation Electrolytes for Alkali Metal Batteries.
Pritom R, Islam MM