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

2026 Crossref Advance Sustainable Science Engineering and Technology

Comparing and learning figures of merit for quantum circuit compilation

Harshdeep Singh, Marvin Richter, Mats Granath, Anton Frisk Kockum

2026 arXiv arXiv preprint

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

2026 Crossref Astronomy and Computing

Comparing Classical and Quantum Machine Learning for Regression in High Energy Physics Collision Data

Tariq Mahmood, Zain ul Abidin, Itzel Luviano Soto, Alfredo Raya

2026 arXiv arXiv preprint

Comparing Classical and Quantum Variational Classifiers on the XOR Problem

Miras Seilkhan, Adilbek Taizhanov

2026 arXiv arXiv preprint

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

2026 PubMed Journal of radiation research

Complementarity-Preserving Generative Theory for Multimodal ECG Synthesis: A Quantum-Inspired Approach

Timothy Oladunni, Farouk Ganiyu-Adewumi, Clyde Baidoo, Kyndal Maclin

2026 arXiv arXiv preprint

Complexity of Normalized Persistence Problems for Topological Data Analysis and Local Hamiltonians

Dominic Lowe, M. S. Kim, Roberto Bondesan, Ryu Hayakawa

2026 arXiv arXiv preprint

Compositional Quantum Heuristics for Max-Clique Detection

Tiffany Duneau, Colin Krawchuk, Anna Pearson

2026 arXiv arXiv preprint

Comprehensive pKa Data Augmentation from Limited Real Data through an Engineered Models-Quantum Framework

Wang Rui, Liu Dinghao

2026 arXiv arXiv preprint

Compression-Driven Anomaly Detection in Brain MRI Using an Interpretable Quantum Autoencoder

Santanu Ganguly, Xing Liang, Dimitrios Makris

2026 arXiv arXiv preprint

Computación cuántica: de qubits a qudits

Laura Tenjo Patiño, Juan David Hormaza Pantoja, Alcides Montoya Cañola

2026 Crossref Entre Ciencia e Ingeniería