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Proceedings ArticleDOI

Qubit model for solving the coverage problem

TLDR
A hardware-focused models for parallel calculating the power set on the universe of n primitives for solving coverage problems, minimization of Boolean functions, data compression, analysis and synthesis of digital systems through the implementation of the processor structure in the form of the Hasse diagram are described.
Abstract
Qubit (quantum) structures of data and computational processes for significantly improving performance when solving problems of discrete optimization and fault-tolerant design are proposed. We describe a hardware-focused models for parallel (one cycle) calculating the power set (the set of all subsets) on the universe of n primitives for solving coverage problems, minimization of Boolean functions, data compression, analysis and synthesis of digital systems through the implementation of the processor structure in the form of the Hasse diagram. A prototype of quantum device, implemented by programmable logic, is described.

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Citations
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Proceedings ArticleDOI

Integration the non-equilibrium position encoding into the compression technology of the transformed images

TL;DR: The principles of integration of non-equilibrium-positional coding into the technology of compression of transformed images are considered as an alternative to probability-statistical methods of coding, which can provide high compression ratios without loss of information quality.
Proceedings ArticleDOI

Development Second and Third Phase of the Selective Frame Processing Method

TL;DR: The solution of a operational and confidential data transmission problem with the necessary quality level of decoding in the conditions of continuous increase in volume of video content containing data on critical infrastructure objects is proposed.
Proceedings ArticleDOI

Big Data Driven Cyber Analytic System

TL;DR: An infrastructure for parallel analyzing big data in order to search, pattern recognition and decision-making based on the use of the Boolean metric of cyberspace measurement is proposed, characterized by using only logical xor-operation for determining the cyber-distance by means of cyclic closing at least one object, which allows significantly increasing the speed of analysis of large data.
Proceedings ArticleDOI

Qubit description of the functions and structures for computing

TL;DR: The basic concepts, terminology, definitions, necessary for the implementation of quantum computation in the practice of modeling computer structures, and the examples proving the efficiency of qubit data structures for parallel operations on the data are represented.
Proceedings ArticleDOI

Big Data driven cyber physical systems

TL;DR: This paper is devoted to the analysis of scientific publications in IEEE Xplore related to Big Data and cyber-physical systems and a structure of cyber-informational system for monitoring and control is proposed.
References
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Book

Quantum Approach to Informatics

TL;DR: The goal of this book is to contribute towards the realization of quantum information processing in a more efficient manner than is currently possible in the literature.
Posted Content

Information Analysis Infrastructure for Diagnosis

TL;DR: A high-speed multiprocessor architecture for brain-like analyzing information represented in analytic, graph- and table forms of associative relations to search, recognize and make a decision in n-dimensional vector discrete space is offered.

Practical fault tolerance for quantum circuits

TL;DR: A linear programming-based optimization for error correction is developed which decreases overall circuit resources by an order of magnitude and actually improves overall system reliability by removing error correction.
Journal ArticleDOI

Quantum computing. 3

TL;DR: This installment concludes the discussion of the theory of quantum computing by presenting some interesting quantum algorithms and showing how quantum computing can change the world of cryptography, or the sharing of secrets.
Journal ArticleDOI

Challenges for quantum computing with solid-state devices

R.W. Keyes
- 01 Jan 2005 - 
TL;DR: The challenge for solid-state quantum computing is to find a way to use devices without precise knowledge of their physical characteristics to deal with certain intractable problems of conventional digital computing.
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