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International Conference on Experience of Designing and Applications of CAD Systems in Microelectronics

Quantum processor for the optimal coverage

Irina Hahanova

Published Jun 20, 2013• 0 citations
OpenAlex

Abstract

The qubit (quantum) structure of data and computing processes that allows significantly increasing the speed of binary optimization problem decisions was proposed. The hardware parallel models (one cycle) for Boolean (set of all subsets) calculation on the basis of n-element universum for coverage decision solutions, boolean function optimizations, compression of data, digital systems synthesis and analysis that use the Hasse diagram for implementation processor structure were described.

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The qubit (quantum) structure of data and computing processes that allows significantly increasing the speed of binary optimization problem decisions was proposed. The hardware parallel models (one cycle) for Boolean (set of all subsets) calculation on the basis of n-element universum for coverage decision solutions, boolean function optimizations, compression of data, digital systems synthesis and analysis that use the Hasse diagram for implementation processor structure were described.
Abstract – The qubit (quantum) structure of data and computing processes that allows significantly increasing the speed of binary optimization problem decisions was proposed. The hardware parallel models (one cycle) for Boolean (set of all subsets) calculation on the basis of n-element universum for coverage decision solutions, boolean function optimizations, compression of data, digital systems synthesis and analysis that use the Hasse diagram for implementation processor structure were described. Index Terms – quantum computing, hardware model, Boolean function, processor. I. I NTRODUCTION The purpose of the qubit-processor creation is significant reduction of time that needs to decision of the optimization problems by using concurrent calculation of the vector logical operations [1-3] over the set of all subsets of the primitives through the cost of increasing the memory size for intermediate data saving. Problems of the research are the follows: 1) Definition of data structures for boolean decision coverage problem of columns of a matrix M =M
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.
Qubit (quantum) structures of data and computational processes to considerably improve performance when solving discrete optimization problems are proposed. The hardware-oriented models for parallel (one cycle) calculating the power set (the set of all subsets) on the universe of n primitives are described. They are focused to solve coverage problems, minimization of Boolean functions, data compression, analysis and synthesis of digital systems through implementing the processor structure in the form of the Hasse diagram. Fig. 1. Ref.: 17 items.
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.
"Quantum" processors' structure for simulation and verification of digital system is proposed. It is based on transactions between addressable memory components to realize any functionality. The new approach for analysis of digital systems is proposed. It is supposed to apply vector form (quantum) of combinational and sequential structures implemented into memory elements. This approach remarkably differs from the common design theory of discrete devices based on logic truth tables of components. It is based on an opportunity of applying quantum or qubit data structures in modern computers when doing calculating processes with the purpose of unary coding states of input, internal and output variables, and also on the technology of qubit-vectors implementation into memory elements FPGA, which realize combinational and sequential primitives. The use of quantum memory-based only models for describing digital components when designing computer systems would allow us to increase yield, enhance reliability of computers, make the process of design and production of devices cheaper, and also provides human-free repairing in remote & online mode.
"Quantum " data structures for synthesis of digital system are proposed. They are based on transactions between addressable memory components to implement any functionality. The new approach of logic function minimization for synthesis of digital systems is proposed. It is supposed to apply vector form (quantum) of description logic and sequential structures implemented into memory elements. This approach remarkably differs from the common synthesis theory of discrete devices based on truth tables of components. It is based on an opportunity of applying quantum or qubit data structures [1-5] in modern computers when doing calculating processes with the purpose of unary coding states of input, internal and output variables, and also on the technology of qubit-vectors implementation into memory elements FPGA, which realize combinational and sequential primitives. The use of quantum memory-based only models for describing digital components when computer systems design would allow us to increase yield, enhance reliability of computers, make the process of design and production of devices cheaper, and also provides human-free repairing in remote & online mode.