Quantum Machine Learning
290 papers from Europe PMC
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 25-36 of 290
Design of a hybrid quantum machine learning architecture and analysis of quantum noise effects.
Bravo-Montes JA, Martín-Toledano A, Velasco-Gallego C, Botella G, Del Barrio AA, García-Herrero F.
Development of crow search algorithm using the characteristics of qubits and application of engineering problems.
Lee D, Lee S.
Dissipative Realization of a Quantum Distance-Based Classifier Using Open Quantum Walks.
Maciel PL, Pleasance G, Petruccione F, Bernardes NK.
Efficient implementation of a quantum algorithm with a trapped ion qudit.
Shi X, Sinanan-Singh J, Burke TJ, Chiaverini J, Chuang IL.
Empirical Evaluation of Quantum Kernel Learning for Sector Rotation Prediction: Using Fama–French 10 Industry Portfolios
Nakajima T.
Error-Resilient Quantum Circuit Design of Hybrid Approximate-Exact 5:2 Compressors for Arithmetic Applications
Manda SVSAL, Alagarsamy A, Ravindran E, Hu Y, Cardarilli GC, Ko S.
Experimental Certification of Ensembles of High-Dimensional Quantum States with Independent Quantum Devices.
Sun YN, Ma MY, Su QP, Sun Z, Yang CP, Nori F.
Exploring quantum active learning for materials design and discovery.
Lourenço MP, Zadeh-Haghighi H, Hostaš J, Naseri M, Gaur D, Simon C, Salahub DR.
Fault-Injection Probing: A Causal Interpretability Framework for Quantum Machine Learning Models
Kannan¹ P, Sundaram¹ VM.
FPGA Based Quantum Circuit Simulator: Processing 30 Qubit Systems
Ali NAN, Tiwari ATA, khan NkN, Mazhar IMI, Islur KIK, Gupta HGH, kumar SkS, Tyagi PTP.
GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching
Wang H, Li P, Chen M, Cheng J, Liu J, Chen T.
HCF-QNet: A GWO-Optimized Hybrid Contrastive Quantum Neural Network for Chronic Kidney Disease Prediction
Pathak A, Singh OP.