Clocked Molecular Quantum-dot Cellular Automata

Slides:

Advertisements

Similar presentations

Advertisements

Nonlinear Optical Microscopy. X Y Non-linear? Actual response can be written as y = c 1 x+ c 3 x 3 (this is called a cubic distortion) Assuming the input.

Single Electron Devices Single-electron Transistors

Kameshwar K. Yadavalli, Alexei O. Orlov, Ravi K. Kummamuru, John Timler, Craig Lent, Gary Bernstein, and Gregory Snider Department of Electrical Engineering.

Finite Size Effects in Conducting Nanoparticles: Classical and Quantum Theories George Y. Panasyuk Wright-Patterson Air Force Base, OH, February 8, 2011.

A Look at Chapter 4: Circuit Characterization and Performance Estimation Knowing the source of delays in CMOS gates and being able to estimate them efficiently.

Chapter 25 Capacitance Key contents Capacitors Calculating capacitance

PHY 042: Electricity and Magnetism Electric field in Matter Prof. Hugo Beauchemin 1.

On Attributes and Limitations of Linear Optics in Computing A personal view Joseph Shamir Department of Electrical Engineering Technion, Israel OSC2009.

SOLAR CELL TESTING. SOLAR CELL TESTING Basic Structure of a Solar Cell.

Montek Singh COMP Aug 30,  Gain/amplification ◦ restoring logic ◦ clock gain  QCA Implementation  Experimental results.

Alexei O. Orlov Department of Electrical Engineering University of Notre Dame, IN, USA Temperature dependence of locked mode in a Single-Electron Latch.

_____________________________________________________________ EE 666 April 14, 2005 Molecular quantum-dot cellular automata Yuhui Lu Department of Electrical.

Montek Singh COMP Aug 25,  Cellular automata  Quantum dot cellular automata (QCA)  Wires and gates using QCA  Implementation.

Logic Synthesis For Low Power CMOS Digital Design.

Outline Introduction – “Is there a limit?”

Single Electron Transistor

Reversible Computing Architectural implementation using only reversible primitives Perform logical operations in a reversible manner May be used to implement.

Continuous Time Monte Carlo and Driven Vortices in a Periodic Potential V. Gotcheva, Yanting Wang, Albert Wang and S. Teitel University of Rochester Lattice.

Emerging Logic Devices

G. Csaba, A. Csurgay, P. Lugli and W. Porod University of Notre Dame Center for Nano Science and Technology Technische Universit ä t M ü nchen Lehrst ü.

3.1Introduction to CPU Central processing unit etched on silicon chip called microprocessor Contain tens of millions of tiny transistors Key components:

Digital Integrated Circuits© Prentice Hall 1995 Inverter THE INVERTERS.

Quantum Dots and Quantum Dot Cellular Automata SOURCES: –Rajarshi Mukhopadhyay, ece. gatech. Edu –Richard Spillman –Yan-Ten Lu, Physics, NCKU –Tony.

TOF Mass Spectrometer &

Semiconductor Devices III Physics 355. Transistors in CPUs Moore’s Law (1965): the number of components in an integrated circuit will double every year;

MOS Capacitors MOS capacitors are the basic building blocks of CMOS transistors MOS capacitors distill the basic physics of MOS transistors MOS capacitors.

Christopher Devulder, Slava V. Rotkin 1 Christopher Devulder, Slava V. Rotkin 1 1 Department of Physics, Lehigh University, Bethlehem, PA INTRODUCTION.

Electronic Devices Laboratory CE/EE 3110 Conductivity and the Hall Effect.

LACSI 10/2004 Center for Nano Science and Technology University of Notre Dame Craig S. Lent University of Notre Dame Quantum-dot Cellular Automata: beyond.

Gerousis Toward Nano-Networks and Architectures C. Gerousis and D. Ball Department of Physics, Computer Science and Engineering Christopher Newport University.

Power Dissipation Bounds and Models for Quantum-dot Cellular Automata Circuits Saket Srivastava*, Sudeep Sarkar # and Sanjukta Bhanja* * Electrical Engineering,

Chapter 07 Electronic Analysis of CMOS Logic Gates

PHY 2049 Chapter 26 Current and Resistance. Chapter 26 Current and Resistance In this chapter we will introduce the following new concepts: -Electric.

TECHNICAL SEMINAR ON TECHNOLOGIES AND DESIGNS FOR ELECTRONIC NANOCOMPUTERS PRESENTED BY : BIJAY KUMAR XESS ADMN NO : 4 I&E/2K.

The George Washington University School of Engineering and Applied Science Department of Electrical and Computer Engineering ECE122 – Lab 7 MOSFET Parameters.

The George Washington University School of Engineering and Applied Science Department of Electrical and Computer Engineering ECE122 – Lab 7 MOSFET Parameters.

Ratioed Circuits Ratioed circuits use weak pull-up and stronger pull-down networks. The input capacitance is reduced and hence logical effort. Correct.

NANOCOMPUTING BY FIELD-COUPLED NANOMAGNETS n AUTHORS : Gyorgy Csaba Alexandra Imre Gary H. Bernstein Wolfang Porod (fellow IEEE) Vitali Metlushko n REFERENCE.

Bayesian Macromodeling for Circuit Level QCA Design Saket Srivastava and Sanjukta Bhanja Department of Electrical Engineering University of South Florida,

Device Characterization ECE/ChE 4752: Microelectronics Processing Laboratory Gary S. May April 1, 2004.

Extreme Computing 2005 Center for Nano Science and Technology University of Notre Dame Craig S. Lent University of Notre Dame Molecular QCA and the limits.

CALTECH CS137 Winter DeHon CS137: Electronic Design Automation Day 8: February 4, 2004 Fault Detection.

27 Current and Resistance 27-1 Moving Charges and Electric Currents electric currents——that is, charges in motion.

Linear Delay Model In general the propagation delay of a gate can be written as: d = f + p –p is the delay due to intrinsic capacitance. –f is the effort.

University of Notre Dame Lecture 19 - Intro to MQCA Nanomagnetic Logic Devices.

Spintronics. Properties of Electron Electron has three properties. Charge Mass Spin.

1 The piezoelectronic transistor: A nanoactuator-based post-CMOS digital switch with high speed and low power Class: Bio MEMS Components and System Teacher.

QCAdesigner – CUDA HPPS project

Northeastern U N I V E R S I T Y 1 Design and Test of Fault Tolerant Quantum Dot Cellular Automata Electrical and Computer Department.

1 Chapter 20 Circuits. 2 1) Electric current and emf a)Potential difference and charge flow Battery produces potential difference causing flow of charge.

Molecular Scale Architectures Quantum Cellular Automata and Molecular Combinatorial Logic By Jeff Kramer.

Introduction to Spintronics

S. E. Thompson EEL Quantum cellular Automata Quantum Cellular Automata (QCA) refers to any one of several models of quantum computation, which have.

FPGA-Based System Design: Chapter 2 Copyright  2004 Prentice Hall PTR Topics n Logic gate delay. n Logic gate power consumption. n Driving large loads.

KEYNOTE OF THE FUTURE 2: EMMA McLARNON CSIT PhD Student QUEEN’S UNIVERSITY BELFAST.

S. E. Thompson EEL Logic Devices Field Effect Devices –Si MOSFET –CNT-FET Coulomb Blockade Devices –Single Electron Devices Spintronics Resonant.

Bayesian Modeling of Quantum-Dot-Cellular-Automata Circuits Sanjukta Bhanja and Saket Srivastava Electrical Engineering, University of South Florida, Tampa,

CS203 – Advanced Computer Architecture

Charge-Density-Wave nanowires Erwin Slot Mark Holst Herre van der Zant Sergei Zaitsev-Zotov Sergei Artemenko Robert Thorne Molecular Electronics and Devices.

CARBON NANOTUBES (A SOLUTION FOR IC INTERCONNECT) By G. Abhilash 10H61D5720.

INDUSTRIAL ELECTRONICS/ELECTRICITY

THE CMOS INVERTER.

Modelling & Simulation of Semiconductor Devices

How Boolean logic is implemented

Frank Sill Torres1,2, Pedro A. Silva3, Geraldo Fontes3, José A. M

Chapter 9: Current and resistance

Synchronization of Clocked Field-Coupled Circuits

Presentation transcript:

Clocked Molecular Quantum-dot Cellular Automata A NEW COMPUTATIONAL PARADIGM Gabriele Dura

Clocked Molecular Quantum-dot Cellular Automata Recent computation is achieved thanks to the enormous number of C-MOS per area Now there is a problem to continue this trend

Clocked Molecular Quantum-dot Cellular Automata The Moore’s Law

Clocked Molecular Quantum-dot Cellular Automata It is necessary a new computational paradigm Quantum-dot Cellular Automata

Clocked Molecular Quantum-dot Cellular Automata What is it?

Clocked Molecular Quantum-dot Cellular Automata How to use it? We can make quantum wire Quantum inverter Quantum Majority Gate Quantum fanout

Clocked Molecular Quantum-dot Cellular Automata How does it work? Every cell has two extra charge, that could be electrons or holes. Coulombic interaction between this extra charge will achieve a ground state in the cell, moving in the cell by tunneling The two extra charges are confined in the cells by a high potential barrier.

Clocked Molecular Quantum-dot Cellular Automata These devices have some problems: Too low working temperature (4°K) A metastable configuration with long life time can be achieved ERROR IN COMPUTATION High sensitiity to the position cell-to-cell (showing by simulation)

Clocked Molecular Quantum-dot Cellular Automata How to solve this problem: Temperature Molecular Quantum-dot cells Metastable configuration four phase clock and quasi-adiabatic transition Imperfections actually there is no indication about (only simulation)

Clocked Molecular Quantum-dot Cellular Automata Molecular quantum-dot proposed by Lent – Isakcsen Allyl Alkyl

Clocked Molecular Quantum-dot Cellular Automata Allyl groups serve as dots with his red-ox centre that can be achieved cy halls Alkyl groups serve as tunnel barrier that halls can pass through

Clocked Molecular Quantum-dot Cellular Automata Molecule was driven by a driver dipole and clocked by a perpendicular electric field This give a highly nonlinear dipole moment 6.6Å

Clocked Molecular Quantum-dot Cellular Automata

Clocked Molecular Quantum-dot Cellular Automata It is possible to enable the clock in this device using some buried wires The current flow through wires generates an Electric Field that drives the state of the molecule

Clocked Molecular Quantum-dot Cellular Automata Clock must have four-phase that allows quasi-adiabatic interaction cell-to-cell Applied Signal Value of Electric Field Electric Field Distribution That implies this “truth table”

Clocked Molecular Quantum-dot Cellular Automata Influence of imperfection on the dynamical response in QCA Nowadays only considered in model simulations. Ideal chain of cells: Imperfection introduced between the fifth and the sixth the third and the fourth the driver and the chain Correct polarization Acceptable polarization Capability whole disappears

Clocked Molecular Quantum-dot Cellular Automata Imperfection due to interdot distance defects Imperfection introduced in the interdot barriers in the second cells Dependence of the output cell Response of polarization with this imperfection on the tunneling parameter L1 in the second cell of this chain

Clocked Molecular Quantum-dot Cellular Automata Imperfection due to interdot distance defects Imperfection introduced in the interdot barriers in the middle cell Imperfection introduced in the interdot barriers in the last cell

Clocked Molecular Quantum-dot Cellular Automata  Conclusion: We can see that Molecular Quantum-dot Cellular Automata produce a highly non-linear characteristic that can be used to get something like logic gates with a very low power dissipation and very high device densities.

Clocked Molecular Quantum-dot Cellular Automata L Conclusion: There is too much work to do to design a good real device that can operate at room temperature and can resist to the imperfections occurring in the industrial process for large scale diffusion.