9 research outputs found

    Design of a Ternary Reversible/Quantum Adder using Genetic Algorithm

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    Quantum Cellular Automata Controlled Self-Organizing Networks

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    A Survey on Quantum Channel Capacities

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    Quantum information processing exploits the quantum nature of information. It offers fundamentally new solutions in the field of computer science and extends the possibilities to a level that cannot be imagined in classical communication systems. For quantum communication channels, many new capacity definitions were developed in comparison to classical counterparts. A quantum channel can be used to realize classical information transmission or to deliver quantum information, such as quantum entanglement. Here we review the properties of the quantum communication channel, the various capacity measures and the fundamental differences between the classical and quantum channels.Comment: 58 pages, Journal-ref: IEEE Communications Surveys and Tutorials (2018) (updated & improved version of arXiv:1208.1270

    Online testing in ternary reversible logic

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    xii, 92 leaves : ill. ; 29 cmIn recent years ternary reversible logic has caught the attention of researchers because of its enormous potential in different fields, in particular quantum computing. It is desirable that any future reversible technology should be fault tolerant and have low power consumption; hence developing testing techniques in this area is of great importance. In this work we propose a design for an online testable ternary reversible circuit. The proposed design can implement almost all of the ternary logic operations and is also capable of testing the reversible ternary network in real time (online). The error detection unit is also constructed in a reversible manner, which results in an overall circuit which meets the requirements of reversible computing. We have also proposed an upgrade of the initial design to make the design more optimized. Several ternary benchmark circuits have been implemented using the proposed approaches. The number of gates required to implement the benchmarks for each approach have also been compared. To our knowledge this is the first such circuit in ternary with integrated online testability feature

    Ternary Max-Min algebra with application to reversible logic synthesis

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    Ternary reversible circuits are 0.63 times more compact than equivalent binary reversible circuits and are suitable for low-power implementations. Two notable previous works on ternary reversible circuit synthesis are the ternary Galois field sum of products (TGFSOP) expression-based method and the ternary Max-Min algebra-based method. These methods require high quantum cost and large number of ancilla inputs. To address these problems we develop an alternative ternary Max-Min algebra-based method, where ternary logic functions are represented as Max-Min expressions and realized using our proposed multiple-controlled unary gates. We also show realizations of multiple-controlled unary gates using elementary quantum gates. We develop a method for minimization of ternary Max-Min expressions of up to four variables using ternary K-maps. Finally, we develop a hybrid Genetic Algorithm (HGA)-based method for the synthesis of ternary reversible circuits. The HGA has been tested with 24 ternary benchmark functions with up to five variables. On average our method reduces quantum cost by 41.36% and requires 35.72% fewer ancilla inputs than the TGFSOP-based method. Our method also requires 74.39% fewer ancilla inputs than the previous ternary Max-Min algebra-based method

    Cellular Automata

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    Modelling and simulation are disciplines of major importance for science and engineering. There is no science without models, and simulation has nowadays become a very useful tool, sometimes unavoidable, for development of both science and engineering. The main attractive feature of cellular automata is that, in spite of their conceptual simplicity which allows an easiness of implementation for computer simulation, as a detailed and complete mathematical analysis in principle, they are able to exhibit a wide variety of amazingly complex behaviour. This feature of cellular automata has attracted the researchers' attention from a wide variety of divergent fields of the exact disciplines of science and engineering, but also of the social sciences, and sometimes beyond. The collective complex behaviour of numerous systems, which emerge from the interaction of a multitude of simple individuals, is being conveniently modelled and simulated with cellular automata for very different purposes. In this book, a number of innovative applications of cellular automata models in the fields of Quantum Computing, Materials Science, Cryptography and Coding, and Robotics and Image Processing are presented
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