Field-Coupled Nanocomputing

Paradigms, Progress, and Perspectives

  • Neal G. Anderson
  • Sanjukta Bhanja

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8280)

Also part of the Theoretical Computer Science and General Issues book sub series (LNTCS, volume 8280)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Field-Coupled Nanocomputing Paradigms

    1. Front Matter
      Pages 1-1
    2. Craig S. Lent, Gregory L. Snider
      Pages 3-20
    3. Wolfgang Porod, Gary H. Bernstein, György Csaba, Sharon X. Hu, Joseph Nahas, Michael T. Niemier et al.
      Pages 21-32
    4. Robert A. Wolkow, Lucian Livadaru, Jason Pitters, Marco Taucer, Paul Piva, Mark Salomons et al.
      Pages 33-58
  3. Circuits and Architectures

    1. Front Matter
      Pages 59-59
    2. Marco Vacca, Mariagrazia Graziano, Alessandro Chiolerio, Andrea Lamberti, Marco Laurenti, Davide Balma et al.
      Pages 73-110
    3. Peng Wang, Mohammed Niamat, Srinivasa Vemuru
      Pages 111-132
    4. Himanshu Thapliyal, Nagarajan Ranganathan, Saurabh Kotiyal
      Pages 133-172
    5. Jayita Das, Syed M. Alam, Sanjukta Bhanja
      Pages 173-193
    6. Weiqiang Liu, Saket Srivastava, Máire O’Neill, Earl E. Swartzlander Jr.
      Pages 194-222
    7. Marco Vacca, Mariagrazia Graziano, Juanchi Wang, Fabrizio Cairo, Giovanni Causapruno, Gianvito Urgese et al.
      Pages 223-256
  4. Modeling and Simulation

    1. Front Matter
      Pages 257-257
    2. Faizal Karim, Konrad Walus
      Pages 259-273
    3. Marco Vacca, Stefano Frache, Mariagrazia Graziano, Fabrizio Riente, Giovanna Turvani, Massimo Ruo Roch et al.
      Pages 274-306
    4. Azzurra Pulimeno, Mariagrazia Graziano, Aleandro Antidormi, Ruiyu Wang, Ali Zahir, Gianluca Piccinini
      Pages 307-338
  5. Irreversibility and Dissipation

    1. Front Matter
      Pages 339-339
    2. Ismo Hänninen, Hao Lu, Enrique P. Blair, Craig S. Lent, Gregory L. Snider
      Pages 341-356
    3. İlke Ercan, Neal G. Anderson
      Pages 357-375

About this book

Introduction

Field-coupled nanocomputing (FCN) paradigms offer fundamentally new approaches to digital information processing that do not utilize transistors or require charge transport. Information transfer and computation are achieved in FCN via local field interactions between nanoscale building blocks that are organized in patterned arrays. Several FCN paradigms are currently under active investigation, including quantum-dot cellular automata (QCA), molecular quantum cellular automata (MQCA), nanomagnetic logic (NML), and atomic quantum cellular automata (AQCA). Each of these paradigms has a number of unique features that make it attractive as a candidate for post-CMOS nanocomputing, and each faces critical challenges to realization.

This State-of-the-Art-Survey provides a snapshot of the current developments and novel research directions in the area of FCN. The book is divided into five sections. The first part, Field-Coupled Nanocomputing Paradigms, provides valuable background information and perspectives on the QDCA, MQCA, NML, and AQCA paradigms and their evolution. The second section, Circuits and Architectures, addresses a wide variety of current research on FCN clocking strategies, logic synthesis, circuit design and test, logic-in-memory, hardware security, and architecture. The third section, Modeling and Simulation, considers the theoretical modeling and computer simulation of large FCN circuits, as well as the use of simulations for gleaning physical insight into elementary FCN building blocks. The fourth section, Irreversibility and Dissipation, considers the dissipative consequences of irreversible information loss in FCN circuits, their quantification, and their connection to circuit structure. The fifth section, The Road Ahead: Opportunities and Challenges, includes an edited transcript of the panel discussion that concluded the 2013 Workshop on Field-Coupled Nanocomputing.

Keywords

AQCA FCN FCN circuits MQCA NML QDCA atomic quantum cellular automata circuit design field-coupled nanocomputing hardware architecture hardware security logic-in-memory modeling molecular quantum cellular automata nanomagnetic logic quantum-dot cellular automata simulation

Editors and affiliations

  • Neal G. Anderson
    • 1
  • Sanjukta Bhanja
    • 2
  1. 1.University of Massachusetts AmherstAmherstUSA
  2. 2.University of South FloridaTampaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-43722-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-662-43721-6
  • Online ISBN 978-3-662-43722-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book
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