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 649-659 of 659
General modeling framework for quantum photodetectors
Steve M. Young, Mohan Sarovar, François Léonard
Hardening quantum machine learning against adversaries
Nathan Wiebe, Ram Shankar Siva Kumar
Modelling non-markovian quantum processes with recurrent neural networks
Leonardo Banchi, Edward Grant, Andrea Rocchetto, Simone Severini
Projective quantum Monte Carlo simulations guided by unrestricted neural network states
E. M. Inack, G. E. Santoro, L. Dell'Anna, S. Pilati
THE IMPLEMENTATION OF QUANTUM LEARNING MODEL USING SOCIAL-SPIRITUAL VALUE THROUGH LESSON STUDY TO IMPROVE SOCIAL-SPIRITUAL ATTITUDES AND LEARNING RESULTS OF SCIENCE II BASIC CONCEPT
I Gede Astawan, Dewa Nyoman Sudana
A novel quantum representation of color digital images
Jianzhi Sang, Shen Wang, Qiong Li
Comment on “Secure quantum private information retrieval using phase-encoded queries”
Run-hua Shi, Yi Mu, Hong Zhong, Shun Zhang
Evaluation of the capacity of communication lines with nonlinear finite memory
E G Shapiro, D A Shapiro
Overcoming experimental limitations in a nonlinear two-qubit gate through postselection
Julián Martínez-Rincón
Student Understanding of Period in Introductory and Quantum Physics Courses
Tong Wan, Paul J. Emigh, Gina Passante, Peter S. Shaffer
Taming the Dynamical Sign Problem in Real-Time Evolution of Quantum Many-Body Problems
Guy Cohen, Emanuel Gull, David R. Reichman, Andrew J. Millis