Browsing: Quantum Data

Quantum Boltzmann machines (QBMs) are machine-learning models for both classical and quantum data. These models use the relative entropy as a loss function and…

A new paper by a Los Alamos team has established a theoretical framework for predicting the implications of overparametrization in quantum machine learning models.…

A new paper by a Los Alamos team has established a theoretical framework for predicting the critical number of parameters needed for quantum machine…