Computing with multi-value logic in quantum dot cellular automata

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Title:

Author:

Sabbaghi-Nadooshan, Reza, author.

ISBN:

9781394253975

9781394253951

9781394253968

Physical Description:

1 online resource

General Note:

Includes index.

Contents:

List of Figures xi -- List of Tables xvii -- About the Authors xxi -- Preface xxiii -- Introduction xxv -- 1 Quantum Dots 1 -- 1.1 Introduction to Quantum Dots 1 -- 1.2 Physical Characteristics of Semiconductor Quantum Dots 2 -- 1.3 Quantum Dots Structure 3 -- 1.4 Surface Structure of Quantum Dots 7 -- 1.5 Properties of Quantum Dots 10 -- 2 Synthesis Methods of Quantum Dots and Applications 15 -- 2.1 Synthesis Processes 15 -- 2.2 Top-Down Synthesis Processes 15 -- 2.3 Bottom-Up Synthesis Processes 17 -- 2.4 Applications of Quantum Dots 19 -- 3 Overview of QCA 23 -- 3.1 Introduction to QCA Technology 23 -- 3.2 Binary QCA Concept 24 -- 3.3 Ternary QCA Cell Structure 24 -- 3.4 Clock in QCA Technology 25 -- 3.5 Manufacturing and Implementation of QCA 26 -- 3.6 Overview of Quantum Gates 26 -- 4 Polarization and Polarization Calculations in QCA (Quantum Calculations in QCA) 33 -- 4.1 Introduction 33 -- 4.2 Polarization and Calculation of Hamiltonian Matrix in QCA 33 -- 5 Multi-Valued Cells Based on Polarization Calculations 59 -- 5.1 Ternary QCA 59 -- 5.2 Quaternary QCA 62 -- 5.3 Quinary QCA 72 -- 5.4 Hypothesis Based on n-Value QCA Cell 82 -- 5.5 Fuzzy Logic Design Using MIN and MAX Functions 84 -- 5.6 Quantum Information 87 -- 6 Effect of Polarization for Two Adjacent Cells and Power Consumption in Multi-Valued Cells 91 -- 6.1 Effect of Two Adjacent Cells in Terms of Polarization 91 -- 6.2 Power Consumption in QCA Technology 95 -- 7 Structure of Basic Gates Using the Proposed Cells in Multi-Value QCA 101 -- 7.1 Structure of Basic Gates Using TQCA 101 -- 7.2 Structure of Basic QQCA Gates 105 -- 7.3 Structure of Basic Gates Using QuQCA 111 -- 8 Implementation of Ternary and Quaternary Basic Gates Using QQCASim and TQCASim 119 -- 8.1 TQCA Simulator 120 -- 8.2 QQCA Simulator for QQCA Circuit Simulation 125 -- 9 A Review of Literature on Memory Structures 135 -- 9.1 Introduction 135 -- 9.2 A Review of Basic Memory Structures 136 -- 9.3 Review of Literature on Memory Design 138 -- 10 Proposed PIM Cells and Their Fault Analysis in Binary QCA 141 -- 10.1 Introduction 141 -- 10.2 Binary QCA-Based Structures 143 -- 10.3 Fault Analysis 147 -- 11 Design Details of Binary Boolean Operators Using Basic PIM Cells: Proposing and Analyzing Basic-Extended Hypothesis 157 -- 11.1 Introduction 157 -- 11.2 Basic-Extended Hypothesis 157 -- 11.3 Designing Logic Gates with Binary QCA-Based PIM Capability 157 -- 12 Proposed PIM Cells in Ternary QCA and Their Fault Analysis 173 -- 12.1 Introduction 173 -- 12.2 Simulation of a Flip-Flop in Ternary QCA Using MATLAB 173 -- 12.3 Structures in Ternary QCA 174 -- 12.4 Fault Analysis 181 -- 13 Design Details of Ternary Boolean Operators Using Basic PIM Cells and Analysis of Basic-Extended Hypothesis 189 -- 13.1 Introduction 189 -- 13.2 Designing Logic Gates With Ternary QCA-Based PIM Capability 189 -- 13.3 Evaluation, Analysis, and Comparison of Results 196 -- 14 Conclusions and Suggestions 201 -- 14.1 Introduction 201 -- 14.2 Summary and Conclusion 201 -- 14.3 Suggestions 203 -- References 205 -- A Matrices217 -- A.1 Particle State Matrix in QQCA 217 -- A.2 Particle State Matrix in QQCA 218 -- B Electrostatic Energy Calculation 223 -- Index 237.

Abstract:

"CMOS technology has been at the forefront of the semiconductor industry for decades, but according to Moore's law, the number of transistors per unit area almost doubles every two years. As the number of transistors increases, methods must be sought to reduce the dimensions of transistors and designed circuits in general. Reducing the dimensions of the transistors themselves causes problems such as short-channel effects, increased leakage current, and increased gate resistance. The stated problems lead to the search for an alternative technology for MOS transistors. Suggested technologies that can be used to replace CMOS technology include: quantum dot cell automation, single electron transistors, carbon nanotubes, molecular electronics etc. Among the technologies mentioned, the technology of cellular automation of quantum dots has received the most attention. The reason for this technology is the design of digital circuits with Nano dimensions. Quantum dot cellular automation technology is one of the best designs in terms of occupied surface area, latency and energy consumption."-- Provided by publisher.

Local Note:

John Wiley and Sons

Subject Term:

Automates cellulaires.

Logique multivalente.

Logic.

Circuits.

Electronics.