Baghdadi A. Qubit models and methods for analyzing and diagnosis of digital units

The aim of the research is a considerable increase in the speed of hardware and software for analyzing digital units by increasing the dimension of the data structures and memory through the use of qubit coverage of functional elements, methods for address parallel simulation, embedded diagnosis and repair, which make it possible significantly increase the product yield due to the development of the infrastructure IP. The object of investigation is the process of parallel processing functionality primitives for synthesis, analysis, testing, diagnosis and repair of digital devices based on the use of qubit data structures. The main results are the following: qubit models for description of digital systems and components, which are characterized by compact representation of the truth table in the form of Q-coverage and allow improving the performance of software and hardware interpretative simulation of computing units; matrix model of qubit primitives to implement combinational circuits that is characterized by address union of Q-coverage on memory cells, connected in a digital circuit by using the state vector of lines, provides an opportunity to repair faulty logic primitives; MQT-automaton model of digital unit that is characterized by using only addressable memory structures and operation of transaction for software and hardware implementation of combinational and sequential functionalities, allows creating fast and reliable calculators for designing cyberspace services; Q-method for interpretative fault-free simulation of digital circuits that is characterized by the use of compact Q-coverage instead of the truth table makes it possible to significantly improve the performance of circuit analysis.