On a Differential Geometric Viewpoint of Jaynes' Maxent Method and its Quantum Extension
S. A. Ali, Carlo Cafaro, Adom Giffin, Cosmo Lupo, Stefano Mancini

TL;DR
This paper offers a differential geometric perspective on Jaynes' MaxEnt method and its quantum extension, addressing incomplete knowledge and prior biases in quantum state estimation.
Contribution
It introduces a geometric framework for quantum MaxEnt estimation and discusses the incorporation of prior biases and unresolved issues in quantum relative entropy inference.
Findings
Provides a geometric interpretation of quantum MaxEnt estimates
Analyzes the role of prior biases in quantum state inference
Identifies open problems in quantum relative entropy criteria
Abstract
We present a differential geometric viewpoint of the quantum MaxEnt estimate of a density operator when only incomplete knowledge encoded in the expectation values of a set of quantum observables is available. Finally, the additional possibility of considering some prior bias towards a certain density operator (the prior) is taken into account and the unsolved issues with its quantum relative entropic inference criterion are pointed out.
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