Heterogeneous Network Architecture for Integration of AI and Quantum Optics by Means of Multiple-Valued Logic

Alexey Yu Bykovsky

doi:10.3390/quantum2010010

Alexey Yu Bykovsky

Open Access

https://doi.org/10.3390/quantum2010010

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Abstract

Quantum optics is regarded as the acknowledged method to provide network quantum keys distribution and in the future secure distributed quantum computing, but it should also provide cryptography protection for mobile robots and the Internet of Things (IoT). This task requires the design of new secret coding schemes, which can be also based on multiple-valued logic (MVL). However, this very specific logic model reveals new possibilities for the hierarchical data clustering of arbitrary data sets. The minimization of multiple-valued logic functions is proposed for the analysis of aggregated objects, which is possible for an arbitrary number of variables. In order to use all the useful properties of the multiple-valued logic, the heterogeneous network architecture is proposed, which includes three allocated levels of artificial intelligence (AI) logic modeling for discrete multiple-valued logic, Boolean logic, and fuzzy logic. Multiple-valued logic is regarded as the possible platform for additional secret coding, data aggregation, and communications, which are provided by the united high dimensional space for network addressing and the targeted control of robotic devices. Models of Boolean and fuzzy logic are regarded as separate logic levels in order to simplify the integration of various algorithms and provide control of additional data protection means for robotic agents.

Highlights

The desire to achieve the new level of artificial intelligence (AI) for future communication networks (CN) and global 5G and 6G Internet is partially motivated by the need to provide high throughput and reliable content delivery both for traditional network nodes [19,20,21] and unmanned robotic systems [22,23,24,25,26]
Future generations of CN demonstrate the trend for integration of quantum technologies and AI methods, because modern global networks are to control autonomous robotic and collective multiagent systems
The earlier designed methods and schemes of multiple-valued logic, which are intended for secure data coding in small-scale microcontroller systems, have revealed the need to design AI algorithms for robotic multiagent systems

Summary

Introduction

Can exchange useful data via a set of communication lines, connecting some of the nodes. Note that in elder generations of CN, the term “node” mainly means the combination of a signal procession device and a qualified person, who makes a decision and uses the delivered message. The desire to achieve the new level of artificial intelligence (AI) for future CN and global 5G and 6G Internet is partially motivated by the need to provide high throughput and reliable content delivery both for traditional network nodes [19,20,21] and unmanned robotic systems [22,23,24,25,26]

Objectives

Methods

Conclusion