Using Quantum Graphical Models to Perform Inference in Hilbert Space

Siddarth Srinivasan
Siddarth Srinivasan

neural information processing systems, (2018)

Cited by: 0|Views5

Abstract:

Quantum Graphical Models (QGMs) generalize classical graphical models by adopting the formalism for reasoning about uncertainty from quantum mechanics. Unlike classical graphical models, QGMs represent uncertainty with density matrices in complex Hilbert spaces. Hilbert space embeddings (HSEs) also generalize Bayesian inference in Hilbert...More

Code:

Data:

ZH
Get fulltext within 24h
Bibtex
Your rating :
0

 

Tags
Comments