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Quantum Entropy Information Measures

Entropic Analysis to Assess impact of Policies on Disorders and Conflicts within a system: Case Study of Traffic intersection as 12-Qubit Social Quantum System

arXiv
Authors: Rakesh Kumar Pandey

Year

2020

Paper ID

436

Status

Preprint

Abstract Read

~2 min

Abstract Words

121

Citations

N/A

Abstract

Entropic analysis of a scenario at a traffic intersection is attempted in detail. The model is utilized to define Conflict Entropy. It is shown that with the use of strategies (policies) like installing traffic lights and construction of flyovers the Entropy is reduced thereby making the traffic ordered. It is shown that these policies help in reducing the Entropy and eliminating the Conflict Entropy completely in both the cases. Such an analysis can find immense application in deciding a favorable policy and in formulation of artificial intelligence algorithms. A striking similarity of the traffic intersection is found with Quantum systems of twelve qubits that opens up a new scope of study of traffic flows to understand the behavior of Quantum Systems.

Why This Paper Matters

  • This paper contributes to the Quantum Entropy & Information Measures research area in the Quantum Articles archive.
  • It adds a 2020 reference point for readers tracking recent quantum research.
  • Entropic analysis of a scenario at a traffic intersection is attempted in detail.

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