Big Data Quantum Computing

A universal criterion and structures for evaluating the quality of object interaction in deterministic cyberspace through the use of only logical operations to determine the distances between the processes and phenomena by developing high-performance parallel processors, focused on effectively solving the problems of searching, pattern recognition, and decision making, is proposed. The quality evaluation criterion for computing structures is represented. The criterion is focused for choosing the best topology, leveraging the sum of all paths between pairs of nodes and the number of edges in the graph. The advantages of triangular cyberspace for the creation of reliable and high-performance cyber physical systems and networks, which stay in operation with a large number of failed connections, are shown. An innovative model of quantum computing is proposed to solve the coverage problem, which leverages the Hasse structure to significantly increase the performance of vector logical operations on big data represented in the form of tables.