Quantum Machine Learning
86 papers from DOAJ
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 86
Pattern Recognition with Artificial Intelligence in Space Experiments
Federica Cuna, Maria Bossa, Fabio Gargano, Mario Nicola Mazziotta
Performance prediction and optimization of a high-efficiency tessellated diamond fractal MIMO antenna for terahertz 6G communication using machine learning approaches
Kamal Hossain Nahin, Jamal Hossain Nirob, Akil Ahmad Taki, Md Ashraful Haque, Narinderjit Singh Sawaran Singh, Liton Chandra Paul, Reem Ibrahim Alkanhel, Hanaa A. Abdallah, Abdelhamied A. Ateya, Ahmed A. Abd El-Latif
Positive mental states and their relation to psychosocial resources: protocol of a systematic review focusing on cultural moderators
Klaus Lieb, Makiko Yamada, Sarah K Schäfer, Max Supke, Jana Meier, Hiro Taiyo Hamada, Michele Wessa
Pseudorandom Function from Learning Burnside Problem
Dhiraj K. Pandey, Antonio R. Nicolosi
Quantum Mechanical Spectral Analysis and Aldose Reductase Inhibition Evaluation of Synthetic New Pyrrolopyrazinones
Yun-Seo Kil, Junhyeung Park, Byeong-Seon Jeong, Punam Thapa, Young Jun Ok, Hyukjae Choi, Jee-Heon Jeong, Joo-Won Nam
Quantum-Cognitive Neural Networks: Assessing Confidence and Uncertainty with Human Decision-Making Simulations
Milan Maksimovic, Ivan S. Maksymov
A Deep Learning Approach to Investigating Clandestine Laboratories Using a GC-QEPAS Sensor
Giorgio Felizzato, Nicola Liberatore, Sandro Mengali, Roberto Viola, Vittorio Moriggia, Francesco Saverio Romolo
A Machine Learning Force Field for Bio-Macromolecular Modeling Based on Quantum Chemistry-Calculated Interaction Energy Datasets
Zhen-Xuan Fan, Sheng D. Chao
AI-Driven Identification of Critical Dependencies in US-China Technology Supply Chains: Implications for Economic Security Policy
Guoli Rao, Chengru Ju, Zhen Feng
An introduction to Bayesian simulation-based inference for quantum machine learning with examples
Ivana Nikoloska, Osvaldo Simeone
Application of quantum computing techniques in particle tracking at LHC
Chan Wai Yuen, Akiyama Daiya, Arakawa Koki, Ganguly Sanmay, Kaji Toshiaki, Minami Juri, Sawada Ryu, Tanaka Junichi, Terashi Koji, Yorita Kohei
Applications of Entropy in Data Analysis and Machine Learning: A Review
Salomé A. Sepúlveda-Fontaine, José M. Amigó