An Algebraic Quantization of Causal Sets
Ioannis Raptis

TL;DR
This paper introduces a new algebraic framework for quantizing causal sets, providing a physically justified model of quantum causality that emphasizes local relations between events.
Contribution
It extends algebraic quantization methods to causal sets by adapting finitary topological space techniques, resulting in the concept of quantum causal sets with a clear physical interpretation.
Findings
Quantum causal sets meet Finkelstein's causality criteria
The approach generalizes algebraic quantization to causal structures
Direct use of algebraization results confirms the properties of quantum causal sets
Abstract
A scheme for an algebraic quantization of the causal sets of Sorkin et al. is presented. The suggested scenario is along the lines of a similar algebraization and quantum interpretation of finitary topological spaces due to Zapatrin and this author. To be able to apply the latter procedure to causal sets Sorkin's `semantic switch' from `partially ordered sets as finitary topological spaces' to `partially ordered sets as locally finite causal sets' is employed. The result is the definition of `quantum causal sets'. Such a procedure and its resulting definition is physically justified by a property of quantum causal sets that meets Finkelstein's requirement from `quantum causality' to be an immediate, as well as an algebraically represented, relation between events for discrete locality's sake. The quantum causal sets introduced here are shown to have this property by direct use of a…
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Taxonomy
TopicsQuantum Mechanics and Applications · Quantum Computing Algorithms and Architecture · Quantum Information and Cryptography
