Quantum Machine Learning
416 papers for year 2023
Showing 85-96 of 416
Detecting quantum phase transitions in a frustrated spin chain via transfer learning of a quantum classifier algorithm
André J. Ferreira-Martins, Leandro Silva, Alberto Palhares, Rodrigo Pereira, Diogo O. Soares-Pinto, Rafael Chaves, Askery Canabarro
Detecting quantum speedup of random walks with machine learning
Hanna Linn, Yu Zheng, Anton Frisk Kockum
Detecting Violations of Differential Privacy for Quantum Algorithms
Ji Guan, Wang Fang, Mingyu Huang, Mingsheng Ying
Deuterium oxide validation of bioimpedance total body water estimates in Hispanic adults
Grant M. Tinsley, Kyung-Shin Park, Catherine Saenz, Ayush Mehra, Michael R. Esco, Stefan A. Czerwinski, Brett S. Nickerson
Development of a Novel Quantum Pre-processing Filter to Improve Image Classification Accuracy of Neural Network Models
Farina Riaz, Shahab Abdulla, Hajime Suzuki, Srinjoy Ganguly, Ravinesh C. Deo, Susan Hopkins
Development of an Electronic Module (E-module) Based on Quantum Learning on Living Creatures Classification Material
Mellia Laura Pitri, Zelhendri Zen, Indrati Kusumaningrum, Fetri Yeni J
Differentiable Quantum Architecture Search for Quantum Reinforcement Learning
Yize Sun, Yunpu Ma, Volker Tresp
Differential Privacy Preserving Quantum Computing via Projection Operator Measurements
Yuqing Li, Yusheng Zhao, Xinyue Zhang, Hui Zhong, Miao Pan, Chi Zhang
Digital Media Based On Quantum Learning to Increase Learning Motivation and Student Learning Activities In Mathematics
Sopian Dewi, Vera Mandailina, Mahsup Mahsup, Syaharuddin Syaharuddin, Mohammed Muniru Iddrisu, Abdul-Lateef Olamide AHMODU
Disparities in access to US quantum information education
Josephine C. Meyer, Gina Passante, Bethany R. Wilcox
DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms
Junyao Zhang, Hanrui Wang, Gokul Subramanian Ravi, Frederic T. Chong, Song Han, Frank Mueller, Yiran Chen
Distributed Quantum Neural Networks via Partitioned Features Encoding
Yoshiaki Kawase