New Logical Foundations for Quantum Information Theory: Introduction to Quantum Logical Information Theory
David Ellerman

TL;DR
This paper introduces a new logical framework for quantum information theory, emphasizing distinctions between quantum states and providing a natural measure of quantum information based on eigenstate distinguishability.
Contribution
It generalizes classical logical information theory to quantum systems, establishing a direct connection between quantum logical entropy and measurement-induced state distinctions.
Findings
Quantum logical entropy quantifies state distinctions in quantum systems.
Measurement increases quantum logical entropy by decohering superpositions.
Quantum logical entropy aligns with probabilities of distinctions in quantum states.
Abstract
Logical information theory is the quantitative version of the logic of partitions just as logical probability theory is the quantitative version of the dual Boolean logic of subsets. The resulting notion of information is about distinctions, differences, and distinguishability, and is formalized using the distinctions (`dits') of a partition (a pair of points distinguished by the partition). All the definitions of simple, joint, conditional, and mutual entropy of Shannon information theory are derived by a uniform transformation from the corresponding definitions at the logical level. The purpose of this paper is to give the direct generalization to quantum logical information theory that similarly focuses on the pairs of eigenstates distinguished by an observable, i.e., qudits of an observable. The fundamental theorem for quantum logical entropy and measurement establishes a direct…
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Taxonomy
TopicsComputability, Logic, AI Algorithms · Quantum Computing Algorithms and Architecture · Statistical Mechanics and Entropy
