Quantum Machine Learning
659 papers from Crossref
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 145-156 of 659
Intelligent Tetracycline Sensing With Carbon Quantum Dots: From Photophysical Engineering to Machine Learning‐Enhanced Detection
Mohamed Abu Shuheil, Rasha Eldalawy, Irwanjot Kaur, Ahmed Aldulaimi, Nada Othman Kattab, Kamal Kishore Thakur, Khushnud Azizjanov, Mukhammadali Buriev, Ahmad Amiri
Internal quantum constraints of natural computation in autopoietic systems
Abir U. Igamberdiev
Interpretable Machine Learning for Benchmarking <scp>DFT</scp> Electron Affinity Predictions: A Generalized Additive Model Approach
Ismail Badran, Abdelrahman Eid, Motasem Far, Nadeen Abbas, Raghad Tayeh, Sahar Salman, Yasmeen Hamdan
Introduction to quantum error correction with stabilizer codes
Zachary P. Bradshaw, Jeffrey J. Dale, Ethan N. Evans
Inverse design of bullseye cavities using tandem neural networks
Martin Sanchez, Christer Everly, Lukas Weituschat, Pablo Postigo
Iterative quantum-assisted least squares optimization with convergence guarantees
Supreeth Mysore Venkatesh, Antonio Macaluso, Diego Arenas, Matthias Klusch, Andreas Dengel
Kepemimpinan SDM dalam Era Quantum Workforce: Menyiapkan Talenta untuk Industri Komputasi Masa Depan (Fokus: Strategi Pengembangan Kompetensi yang Melampaui Literasi Digital Standar)
Dyah Ayu Pramudita, Revi Agustina, Saifatul Dwi Fitriyanti, Mochammad Isa Ansori
Kernel Learning by Quantum Annealer
Yasushi Hasegawa, Hiroki Oshiyama, Masayuki Ohzeki
Leakage Detection Using Probabilistic Neural Networks and Model-Based Localization Using Quantum Genetic Algorithms in Real Water Supply Networks
Yihong Guan, Wei Zhang, Mou Lv, Lingzhi Cui, Peng Qiao, Huan Zhao, Hang Li
Learning thermodynamic master equations for open quantum systems
Peter Sentz, Stanley Nicholson, Yujin Cho, Sohail Reddy, Brendan Keith, Stefanie Günther
Leveraging Time Series Foundation Models to Detect Performance Anomalies in Software Systems
Federico Di Menna, Luca Traini, Vittorio Cortellessa
Lightweight quantum recurrent neural networks for time-series and dynamical systems
Yuan Chen, Abdul Khaliq