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 289-300 of 4,265
Comparative Study of Classical and Quantum Machine Learning Models: Insights into Quantum Advantage in Materials Informatics
Aris Tri Joko Harjanto, Hindriyanto Dwi Purnomo, Hendry
Comparing and learning figures of merit for quantum circuit compilation
Harshdeep Singh, Marvin Richter, Mats Granath, Anton Frisk Kockum
Comparing Classical and Quantum Deep Learning Techniques for Anomaly Detection of Short-Duration Gamma-Ray Signals
Alessandro Rizzo, Nicolò Parmiggiani, Andrea Bulgarelli, Antonio Macaluso, Carlo Burigana, Eric Burns, Luca Cappelli, Vincenzo Fabrizio Cardone, Farida Farsian, Savitri Gallego, Giuseppe Murante, Giuseppe Sarracino, Roberto Scaramella, Francesco Schillirò, Vincenzo Testa, Tiziana Trombetti, Dieter H. Hartmann, Carolyn A. Kierans, Eliza Neights, John A. Tomsick, Andreas Zoglauer
Comparing Classical and Quantum Machine Learning for Regression in High Energy Physics Collision Data
Tariq Mahmood, Zain ul Abidin, Itzel Luviano Soto, Alfredo Raya
Comparing Classical and Quantum Variational Classifiers on the XOR Problem
Miras Seilkhan, Adilbek Taizhanov
Competitive cell transplantation in rat mammary tissue and its use for radiation-induced cell competition and tumor clonality assays.
Nagata K, Nishimura-Yano Y, Hosoki A, Kudo KI, Daino K, Nishimura M, Imaoka T
Complementarity-Preserving Generative Theory for Multimodal ECG Synthesis: A Quantum-Inspired Approach
Timothy Oladunni, Farouk Ganiyu-Adewumi, Clyde Baidoo, Kyndal Maclin
Complexity of Normalized Persistence Problems for Topological Data Analysis and Local Hamiltonians
Dominic Lowe, M. S. Kim, Roberto Bondesan, Ryu Hayakawa
Compositional Quantum Heuristics for Max-Clique Detection
Tiffany Duneau, Colin Krawchuk, Anna Pearson
Comprehensive pKa Data Augmentation from Limited Real Data through an Engineered Models-Quantum Framework
Wang Rui, Liu Dinghao
Compression-Driven Anomaly Detection in Brain MRI Using an Interpretable Quantum Autoencoder
Santanu Ganguly, Xing Liang, Dimitrios Makris
Computación cuántica: de qubits a qudits
Laura Tenjo Patiño, Juan David Hormaza Pantoja, Alcides Montoya Cañola