Quantum Machine Learning
705 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 697-705 of 705
Modelling non-markovian quantum processes with recurrent neural networks
Leonardo Banchi, Edward Grant, Andrea Rocchetto, Simone Severini
2018
Crossref
New Journal of Physics
Projective quantum Monte Carlo simulations guided by unrestricted neural network states
E. M. Inack, G. E. Santoro, L. Dell'Anna, S. Pilati
2018
Crossref
Physical Review B
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
2018
Crossref
Journal of Psychology and Instructions
A novel quantum representation of color digital images
Jianzhi Sang, Shen Wang, Qiong Li
2016
Crossref
Quantum Information Processing
Comment on “Secure quantum private information retrieval using phase-encoded queries”
Run-hua Shi, Yi Mu, Hong Zhong, Shun Zhang
2016
Crossref
Physical Review A
Evaluation of the capacity of communication lines with nonlinear finite memory
E G Shapiro, D A Shapiro
2016
Crossref
Quantum Electronics
Overcoming experimental limitations in a nonlinear two-qubit gate through postselection
Julián Martínez-Rincón
2016
Crossref
Quantum Information Processing
Student Understanding of Period in Introductory and Quantum Physics Courses
Tong Wan, Paul J. Emigh, Gina Passante, Peter S. Shaffer
2016
Crossref
Physics Education Research Conference Proceedings
Taming the Dynamical Sign Problem in Real-Time Evolution of Quantum Many-Body Problems
Guy Cohen, Emanuel Gull, David R. Reichman, Andrew J. Millis
2015
Crossref
Physical Review Letters