Quantum Machine Learning
521 papers for year 2024
Showing 505-516 of 521
Untelegraphable Encryption and its Applications
Jeffrey Champion, Fuyuki Kitagawa, Ryo Nishimaki, Takashi Yamakawa
Untrained Filtering with Trained Focusing for Superior Quantum Architecture Search
Lian-Hui Yu, Xiao-Yu Li, Geng Chen, Qin-Sheng Zhu, Hui Li, Guo-Wu Yang
User Satisfaction Analysis of Academic Information System Using End-User Computing Satisfaction (EUCS)
Ali Nurdin, Muharman Lubis
Using matrix-product states for time-series machine learning
Joshua B. Moore, Hugo P. Stackhouse, Ben D. Fulcher, Sahand Mahmoodian
Using optimal control to guide neural-network interpolation of continuously-parameterized gates
Bikrant Bhattacharyya, Fredy An, Dominik Kozbiel, Andy J. Goldschmidt, Frederic T. Chong
Utilising a Quantum Hybrid Solver for Bi-objective Quadratic Assignment Problems
Mayowa Ayodele
Validation of an Analysability Model in Hybrid Quantum Software
Díaz-Muñoz Ana, Cruz-Lemus José A., Rodríguez Moisés, Piattini Mario, Baldassarre Maria Teresa
Variational quantum cloning machine on an integrated photonic interferometer
Francesco Hoch, Giovanni Rodari, Eugenio Caruccio, Beatrice Polacchi, Gonzalo Carvacho, Taira Giordani, Mina Doosti, Sebastià Nicolau, Ciro Pentangelo, Simone Piacentini, Andrea Crespi, Francesco Ceccarelli, Roberto Osellame, Ernesto F. Galvão, Nicolò Spagnolo, Fabio Sciarrino
Variational Quantum Eigensolver: A Comparative Analysis of Classical and Quantum Optimization Methods
Duc-Truyen Le, Vu-Linh Nguyen, Cong-Ha Nguyen, Quoc-Hung Nguyen, Van-Duy Nguyen
Variational Quantum Generative Modeling by Sampling Expectation Values of Tunable Observables
Kevin Shen, Andrii Kurkin, Adrián Pérez-Salinas, Elvira Shishenina, Vedran Dunjko, Hao Wang
VeriQR: A Robustness Verification Tool for Quantum Machine Learning Models
Yanling Lin, Ji Guan, Wang Fang, Mingsheng Ying, Zhaofeng Su
What can we Learn from Quantum Convolutional Neural Networks?
Chukwudubem Umeano, Annie E. Paine, Vincent E. Elfving, Oleksandr Kyriienko