Magnetic QCA systems

Similar documents
!"#$%&'()*"+,-./*($-"#+"0+'*"12%3+ (#3+4"#&'*"12%3+5'6+6)17-$%1$/)%8*

Power dissipation in clocking wires for clocked molecular quantum-dot cellular automata

NOVEL QCA CONTROL GATE AND NEW DESIGNING OF MEMORY ON THE BASIS OF QUANTUM DOT CELLULAR AUTOMATA WITH MINIMUM QCA BLOCKS

Bridging the Gap between Nanomagnetic Devices and Circuits

Designing Cellular Automata Structures using Quantum-dot Cellular Automata

Implementation of Quantum dot Cellular Automata based Novel Full Adder and Full Subtractor

Enrique Pacis Blair United States Naval Academy. (Dated: December 20, 2009) Abstract

STUDY AND IMPLEMENTATION OF MUX BASED FPGA IN QCA TECHNOLOGY

Quantum-dot cellular automata

Investigation of possibility of high temperature quantum-dot cellular automata

Radiation Effects in Nano Inverter Gate

Double Feynman Gate (F2G) in Quantumdot Cellular Automata (QCA)

Nanomagnet Logic (NML)

Quasiadiabatic switching for metal-island quantum-dot cellular automata

A NML-HDL Snake Clock Based QCA Architecture

Demonstration of a functional quantum-dot cellular automata cell

Design of Multiplexer Based 64-Bit SRAM using QCA

Design of 3D Nanomagnetic Logic Circuits: a Full-Adder Case Study

FAULT MODELS AND YIELD ANALYSIS FOR QCA-BASED PLAS 1

IMPLEMENTATION OF PROGRAMMABLE LOGIC DEVICES IN QUANTUM CELLULAR AUTOMATA TECHNOLOGY

A novel ternary quantum-dot cell for solving majority voter gate problem

DESIGN OF AREA-DELAY EFFICIENT ADDER BASED CIRCUITS IN QUANTUM DOT CELLULAR AUTOMATA

Design of Optimized Quantum-dot Cellular Automata RS Flip Flops

Observation of switching in a quantum-dot cellular automata cell

A NOVEL PRESENTATION OF PERES GATE (PG) IN QUANTUM-DOT CELLULAR AUTOMATA(QCA)

EXPERIMENTAL STUDY OF NANOMAGNETS FOR MAGNETIC QUANTUM- DOT CELLULAR AUTOMATA (MQCA) LOGIC APPLICATIONS. A Dissertation

International Journal of Advanced Research in ISSN: Engineering Technology & Science

Two Bit Arithmetic Logic Unit (ALU) in QCA Namit Gupta 1, K.K. Choudhary 2 and Sumant Katiyal 3 1

A Novel Design for Quantum-dot Cellular Automata Cells and Full Adders

A design methodology and device/circuit/ architecture compatible simulation framework for low-power magnetic quantum cellular automata systems

Novel Bit Adder Using Arithmetic Logic Unit of QCA Technology

Design and Optimization of Parity Generator and Parity Checker Based On Quantum-dot Cellular Automata Santanu Santra, Utpal Roy

DESİGN AND ANALYSİS OF FULL ADDER CİRCUİT USİNG NANOTECHNOLOGY BASED QUANTUM DOT CELLULAR AUTOMATA (QCA)

Molecular quantum-dot cellular automata: From molecular structure to circuit dynamics

ROBUSTNESS AND POWER DISSIPATION IN QUANTUM-DOT CELLULAR AUTOMATA. A Dissertation. Submitted to the Graduate School. of the University of Notre Dame

I. INTRODUCTION. CMOS Technology: An Introduction to QCA Technology As an. T. Srinivasa Padmaja, C. M. Sri Priya

Design of an Optimal Decimal Adder in Quantum Dot Cellular Automata

Systematic Design of Nanomagnet Logic Circuits

!"#"$#%&'(&)(*+,'#+-(."//+/,0( 1+#&-,#&'(1$#%&'(%'(2%/%$&'3&'3 %'4+/,#&0(."//4#

Design of A Efficient Hybrid Adder Using Qca

Available online at ScienceDirect. Procedia Computer Science 70 (2015 ) Bengal , India

Design of Efficient Mirror Adder in Quantum- Dot Cellular Automata

DELAY EFFICIENT BINARY ADDERS IN QCA K. Ayyanna 1, Syed Younus Basha 2, P. Vasanthi 3, A. Sreenivasulu 4

Wire-Crossing Technique on Quantum-Dot Cellular Automata

DESIGN OF PARITY GENERATOR AND PARITY CHECKER USING QUANTUM DOT AUTOMATA

Matrix multiplication using quantum-dot cellular automata to implement conventional microelectronics

DESIGN OF AREA DELAY EFFICIENT BINARY ADDERS IN QUANTUM-DOT CELLULAR AUTOMATA

Design of Arithmetic Logic Unit (ALU) using Modified QCA Adder

Magnetoelastic NanoMagnet Logic Circuits

Directions for simulation of beyond-cmos devices. Dmitri Nikonov, George Bourianoff, Mark Stettler

Field-Coupled Nano-Magnetic Logic Systems

Clocked Molecular Quantum-Dot Cellular Automata

Fabrication and characterization of Au island single-electron transistors with CrO x step edge junctions

Realization of Single Qubit Operations Using. Coherence Vector Formalism in. Quantum Cellular Automata

An investigation of magnetic reversal in submicron-scale Co dots using first order reversal curve diagrams

BINARY TO GRAY CODE CONVERTER IMPLEMENTATION USING QCA

Reliability Modeling of Nanoelectronic Circuits

RAJASTHAN TECHNICAL UNIVERSITY, KOTA

Trends in Nanotechnology: Self-Assembly and Defect Tolerance

A Novel Design and Implementation of New Double Feynman and Six-correction logic (DFSCL) gates in Quantum-dot Cellular Automata (QCA)

A Novel Design and Implementation of 8-3 Encoder Using Quantum-dot Cellular Automata (QCA) Technology

arxiv: v1 [cs.et] 13 Jul 2016

DESIGN OF QCA FULL ADDER CIRCUIT USING CORNER APPROACH INVERTER

Efficient Quantum Dot Cellular Automata (QCA) Implementation of Code Converters

Anisotropy Distributions in Patterned Magnetic Media

Simulation of Hysteresis In Permalloy Films

Serial Parallel Multiplier Design in Quantum-dot Cellular Automata

Perpendicular Nanomagnetic Logic: Three-dimensional devices for non-volatile eld-coupled computing

Five-Input Complex Gate with an Inverter Using QCA

The Role of Correlation in the Operation of Quantum-dot Cellular Automata Tóth and Lent 1

The ternary quantum-dot cell and ternary logic

Nanomaterials and their Optical Applications

Direct write electron beam patterning of DNA complex thin films

A new design and simulation of reversible gates in quantum-dot cellular automata technology

GaAs and InGaAs Single Electron Hex. Title. Author(s) Kasai, Seiya; Hasegawa, Hideki. Citation 13(2-4): Issue Date DOI

Ultralow-Power Reconfigurable Computing with Complementary Nano-Electromechanical Carbon Nanotube Switches

CHAPTER 3 QCA INTRODUCTION

Quantum Dot Structures Measuring Hamming Distance for Associative Memories

Analysis and Design of Quantum-Dot Cellular Automata

Sub-nanosecond signal propagation in anisotropy engineered nanomagnetic logic chains

Comparative analysis of QCA adders

Hierarchical Bayesian Macromodeling for QCA Circuits

Exploring and Exploiting Quantum-Dot Cellular Automata

Micromagnetic simulation of magnetization reversal in rotational magnetic fields

Quantum-Dot Cellular Automata at a Molecular Scale

Using Circuits and Systems-Level Research to Drive Nanotechnology

3/10/2013. Lecture #1. How small is Nano? (A movie) What is Nanotechnology? What is Nanoelectronics? What are Emerging Devices?

Paolo Vavassori. Ikerbasque, Basque Fundation for Science and CIC nanogune Consolider, San Sebastian, Spain.

Design of Sequential Circuits Using MV Gates in Nanotechnology

Analysis And Design Of Priority Encoder Circuit Using Quantum Dot Cellular Automata

CORRELATION AND COHERENCE IN QUANTUM-DOT CELLULAR AUTOMATA. A Dissertation. Submitted to the Graduate School. of the University of Notre Dame

Basic Logic Gate Realization using Quantum Dot Cellular Automata based Reversible Universal Gate

New Symmetric and Planar Designs of Reversible Full- Adders/Subtractors in Quantum-Dot Cellular Automata

Magnetic Force Microscopy practical

Magnetization reversal of CrO 2 nanomagnet arrays

Imprinting domain/spin configurations in antiferromagnets. A way to tailor hysteresis loops in ferromagnetic-antiferromagnetic systems

QUANTUM NANOSTRUCTURES

Design of a Controllable Adder-Subtractor circuit using Quantum Dot Cellular Automata

Nanoelectronics. Topics

An Autonomous Nonvolatile Memory Latch

Transcription:

Microelectronics Journal 36 (2005) 619 624 www.elsevier.com/locate/mejo Magnetic QCA systems G.H. Bernstein a, *, A. Imre a, V. Metlushko c, A. Orlov a, L. Zhou a,l.ji a, G. Csaba b, W. Porod a a Center for Nano Science and Technology, Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA b Institute for Nanoelectronics, TU Munich, Munich, Germany c University of Illinois at Chicago, Chicago, IL 60607, USA Available online 31 May 2005 Abstract The field-coupled QCA architecture has emerged as a candidate for providing local interconnectivity for nanodevices, and offers the possibility to perform very dense, high speed, and low power computing in an altogether new paradigm. Magnetic interactions between nanomagnets are sufficiently strong to allow room-temperature operation. We are investigating the fabrication and testing of arrays of nanomagnets for this purpose, and have found that by tailoring their shapes, strong coupling can be observed. This paper will present recent work of the Notre Dame group on magnetically coupled QCA. q 2005 Elsevier Ltd. All rights reserved. 1. Introduction Quantum-dot cellular automata (QCA) is deemed a potential candidate to replace or supplement CMOS electronic circuits at the end of the roadmap. QCA effects computation through the interaction of fields, and requires the transfer of charge only within a small, confined volume, called a QCA cell. In most cases the fields are electrical in nature, and electrons move within a cell in response to the charge positions of neighboring cells. It has been shown theoretically [1] that an array of cells can be used to effect complex computations, similar to that of a CMOS processor. The QCA concept [2] is independent of the material system in which it is embodied. Demonstrations of QCA logic gates [3], latches [4], and power gain [5] using metal tunnel junction technology at cryogenic temperatures have been performed. Gardelis et al. [6] have demonstrated coupled semiconductor quantum dots toward QCA. Lent [7] proposed using self assembled molecular layers for supporting charge containment, and progress toward developing the technology for building these structures is in progress [8]. DNA has been proposed by Sarveswaran et al. [9] as an alternative material for templating the molecular charge containers. * Corresponding author. Tel.: C1 574 631 6269; fax: C1 574 631 4393. E-mail address: bernstein.1@nd.edu (G.H. Bernstein). 0026-2692/$ - see front matter q 2005 Elsevier Ltd. All rights reserved. doi:10.1016/j.mejo.2004.12.002 Another promising materials system, i.e. that of nanomagnetics, is the subject of this paper. The advantages of using magnetic materials to transfer information by magnetic dipoles rather than electric dipoles, as in the material systems mentioned above, include the simplicity of fabrication and robustness, for example, true room temperature operation. Additionally, magnetic materials are insensitive to radiation, suggesting applications of magnetic QCA requiring robust performance and low power consumption in harsh operating environments such as space, satellite and military applications. This paper reviews progress towards developing networks of nanomagnets suited to QCA operation, and points towards the realization of all magnetic systems, including logic, memory, and power gain. 2. Behavior of nanomagnets As is well known, macroscale ferromagnets are composed of numerous magnetic domains, within each of which the magnetic dipoles are aligned due to quantum-mechanical exchange interactions. In the presence of a sufficiently large external field, the magnetic domains align, leading ultimately to a saturated magnetization state of the magnet. When the external field is removed, most of the domains remain aligned, and a remanent magnetization remains. This effect underlies the familiar hysteresis of M H (or B H) magnetization curves, where H is magnetic field intensity, M is magnetization of the magnet, and B is the magnetic flux

620 G.H. Bernstein et al. / Microelectronics Journal 36 (2005) 619 624 Fig. 1. Intrinsic coercivity vs. particle size. density. Upon driving the magnet in the opposite direction, the domains reverse direction and the magnetization is reversed. At the point of zero magnetization, where no domain direction is preferred (i.e. zero crossing of the M H curve), we define the value of the external H-field as the coercive field, or the coercivity. A magnet with high coercivity is said to be hard and one with low coercivity, soft. The value of coercivity in nanomagnets depends on their dimensions in the direction of the applied field, as well as their aspect ratio. This shape anisotropy will be shown to be critical in the application of nanomagnetics to QCA. For simplicity, we can define a nanomagnet as one whose size is sufficiently small that the domains are relatively few, so that the behavior of the domains is somewhat predictable, controllable, and shape dependent. Fig. 1 shows the average intrinsic coercive field as a function of particle size of a collection of spherical nanomagnets [10]. For nonspherical magnets, above a critical average size, Ds depends on material, shape anisotropy, and crystal anisotropy, and the particles are multidomain. That is not to say that they are always in a multidomain configuration, but that they can be so. At and below Ds, the particles are on average singledomain and exhibit the maximum intrinsic coercivity. As the particles shrink, thermal energy, proportional to the particle s volume, competes with the magnetostatic energy, and the coercivity decreases. At some point, Dsp, thermal effects win out, the domains cannot be maintained, and the particles become superparamagnetic. For a single nanomagnet, the M H curve exhibits discrete jumps rather than smooth behavior due to the small number of individual domains [11]. Hence, the coercivity of a single particle whose size can be imagined to shrink would pass through the few-domain regime in which domain walls enable switching to occur more easily through the flipping of relatively few magnetic dipoles, to single-domain, highest coercivity state, in which no domain wall exists to nucleate switching, so that all the dipoles must flip together. Such switching of these domains can take place on time scales of a ns, which can be considered to be the upper limit to the speed of magnetic QCA. Our dots, which range in dimensions up to about 300 nm, are somewhat larger than Ds (typically around 100 nm), but are still on the slope of the curve near Ds. By using nonspherical magnets, we can tailor the aspect ratio to provide for us a hard, i.e. short, and easy, i.e. long, axis, which allows us to define directions for coupling in the presence of an external field. As the aspect ratio of a nanomagnet increases, there is the further effect of additive magnetostatic energy and coupling along the length, so the coercivity is further increased. Hence, for a given width of magnet above Ds, longer magnets have more of a tendency to be single domain while shorter ones tend to break up into multiple domains. The following section discusses how elongated nanomagnets can be arranged to effect QCA behavior. 3. Magnetic coupling and nanomagnetic QCA Most magnetic thin films, such as permalloy or cobalt, display in-plane magnetization. That is, the preferred domain orientation is parallel to the plane of the film. Other films, such as carefully constructed CoPt multilayers, can exhibit out-of-plane magnetization. Coupling of magnets in either of these configurations can, in principle, be Fig. 2. (a) Definition of logic 1 and 0 for nanomagnets, (b) ground and metastable states for coupled pairs, and (c) QCA wire of nanomagnets.

G.H. Bernstein et al. / Microelectronics Journal 36 (2005) 619 624 621 Fig. 3. Clocking of magnetic QCA devices. (a) Adiabatic clocking of QCA wire, and (b) majority gate with high coercivity input magnets (after Ref. [18]). used for QCA [12,13]. Fig. 2(a) and (b) show how two magnets can be assigned logic states of 1 or 0, and can couple either in a ground state, or higher-energy metastable state. It turns out that the typical energy difference between the two states is on the order of 100 room- temperature kt, or more, depending on the shape, size and coupling, suggesting the use of nanomagnet QCA at elevated temperatures. It is not hard to see how a chain of narrowly Fig. 4. Permalloy nanomagnet QCA wires featuring various shapes.

622 G.H. Bernstein et al. / Microelectronics Journal 36 (2005) 619 624 spaced nanomagnets (Fig. 2(c)) could be used as a QCA wire, as first investigated experimentally by Cowburn and Welland [14] and Cowburn [15]. Basic QCA theory involves adiabatic switching through a null state to minimize dissipation [16]. To achieve this in electronic configurations, the electrons are first allowed out of their dots within the cells by lowering the energy of their charge container walls (the manner of which depends on the chosen material system), the inputs are then applied, and finally the walls are raised adiabatically. In so doing, the array of cells remains near the ground state until the walls are fully raised and the electrons have taken on the ground state configuration with no metastable regions, or kinks, along the line. Fig. 3(a) shows the magnetic analog of adiabatic switching, as exemplified by the switching of a QCA wire controlled by an external input and an external clocking field. The clocking field, H ext, is applied in the direction of the hard axis. As H ext increases past the intrinsic coercivity of the wire components, their magnetization is forced in the same direction. However, due to shape anisotropy, the input cell having higher intrinsic coercivity retains its initial value. Power gain occurs by the energy transfer from the external clock field to the high internal energy state of the magnets (middle wire of Fig. 3(a)). This energy goes into switching as the clocking field is relaxed. As the clock field is adiabatically lowered, the wire relaxes into the ground state with no kinks. This scheme can be extended to a majority gate, as shown in Fig. 3(b). Here, three input magnets of higher coercivity couple toward a center magnet whose magnetization is the majority vote of the three inputs, and which then is launched down the wire as in Fig. 3(a). One feature of this scheme is that it requires out-of-plane magnetization. This requires a plating process for fabrication, since conventional lift-off tends to leave conical-shaped structures as the opening in the resist at the surface closes off from the metalization. Other out-of-plane structures could be fabricated from machining multilayers of CoPt that exhibit proper magnetization direction, and such work is now in progress. In-plane magnetization can also be used for defining QCA logic gates. We have performed extensive experiments defining variously shaped nanomagnets in order to optimize their coupling [17]. Fig. 4 shows various shapes of permalloy films fabricated by electron beam lithography [19] and liftoff. In this figure the magnets are about 300 nm on the easy axis. In our experiments, pairs of magnets of several different aspect ratios for each shape were fabricated, magnetized, and inspected by magnetic force microscopy (MFM), a variation of atomic force microscopy (AFM) with a magnetized tip. The nanomagnet sample was magnetized by rotating in a field of 500 mt at 2000 rpm, while the field was decreased to zero over about 80 s. This scheme as a simple and inexpensive method of applying a high, but sinusoidally varying magnetic field intended to allow the nanomagnets to relax to the ground state. The MFM image of a single domain magnet looks like a closely coupled dark and light spot. Each pair of nanomagnets that are antiferromagnetically (AF) coupled (antialigned) shows light and dark spots on diagonals. Fig. 5(a) shows two trials of six different shapes, with a total of 144 pairs per shape divided among two different aspect ratios and three different sizes. The shapes are shown to the right of the MFM images. It can be seen that the larger sizes toward the top of each section are all AF coupled, while as they get smaller they are ferromagnetically coupled (aligned), as evidenced by the horizontal light and dark streaks. Careful inspection reveals that the locations of the smallest pairs that do not exhibit the desired AF coupling are mostly consistent between the two trials, suggesting that Fig. 5. MFM images of magnetic ordering of different shapes. (a) Six arrays of 144 pairs of nanomagnets of varying sizes, shapes and aspect ratios, and (b) result of statistical analysis of average coherent chain lengths of antiferromagnetically coupled magnets.

G.H. Bernstein et al. / Microelectronics Journal 36 (2005) 619 624 623 Fig. 6. Perfect antiferromagnetic ordering along a 64 magnet-long chain. their aberrant behavior is due to defects in the fabrication process. Fig. 5(b) shows the results of a statistical analysis of errors in QCA wires for various shapes shown in Fig. 4. The numbers represent the average ordering lengths for the different shapes, determined from the average of three independent demagnetization processes of nanomagnet chains in different sizes and aspect ratios. The average ordering length of a single chain is approximated by the length of the chain divided by the number of parallelaligned dipole pairs in the given chain. Fig. 6 shows the AFM and MFM images of a line of 64 rectangular magnets exhibiting perfect AF behavior down the entire line. Such strong coupling is totally outside the realm of random chance, and suggests that using nanomagnets for QCA coupling is indeed feasible. Fig. 7 shows one possible embodiment of in-plane, trapezoidal nanomagnets configured as a majority gate, as simulated by OOMMF [20]. (Parish and Forshaw [21] have modeled a similar configuration.) The three horizontal (relative to the figure) trapezoids to the left are the inputs that can be set and held at their logical values by current carrying wires during the clocking phase. As the horizontal clocking field increases, the vertical magnets are magnetized horizontally, and when the clocking field decreases, they are allowed to relax to the ground state, vertically magnetized configuration. In the figure, the input magnets are all magnetized to the right, which in this case signifies a 1, for the top two magnets (because of their relative configurations with the vertical direction of the coupling magnets) and a logic 0 for the bottom dot. As expected, the central dot is influenced by the majority vote and is magnetized up, starting the signal propagating down the wire. 4. Summary and conclusions We have discussed some of the interesting behavior of magnets on the nanoscale and related it to applications for quantum-dot cellular automata. We presented the utility of shape anisotropy for various configurations of nanomagnet QCA. We showed that the reliability of coupling is shape dependent, but have not yet determined the optimum shape. Simple rectangular magnets were shown in one case to couple with no errors between 64 stages. With more effort, we believe that the advantages of nanomagnet QCA, i.e. ease of fabrication, robustness at room temperature, nonvolatility, straightforward I/O, and potential integration with other magnetic systems such as magnetic random access memory (MRAM), make this a potentially useful technology in spite of its relatively low speed compared with conventional electronic devices. Acknowledgement This work was supported in part by grants from the Office of Naval Research, the W.M. Keck Foundation, and the National Science Foundation. References Fig. 7. OOMMF simulated result of planar majority gate. [1] M.T. Niemier, P.M. Kogge, Exploring and exploiting wire-level pipelining in emerging technologies Proceedings of 28th International Symposium of Computer Architecture, Goteburg, Sweden, 2001, pp. 166 177. [2] S. Lent, P.D. Tougaw, W. Porod, G.H. Bernstein, Quantum cellular automata, Nanotechnology 4 (1993) 49 57. [3] I. Amlani, A.O. Orlov, G. Toth, G.H. Bernstein, C.S. Lent, G.L. Snider, Digital logic gate using quantum-dot cellular automata, Science 284 (1999) 289 291.

624 G.H. Bernstein et al. / Microelectronics Journal 36 (2005) 619 624 [4] A.O. Orlov, R.K. Kummamuru, R. Ramasubramaniam, G. Toth, C.S. Lent, G.H. Bernstein, G.L. Snider, Experimental demonstration of a latch in clocked quantum-dot cellular automata, Appl. Phys. Lett. 78 (2001) 1625 1627. [5] R.K. Kummamuru, A.O. Orlov, J. Timler, G. Toth, C.S. Lent, R. Rajagopal, G.H. Bernstein, G.L. Snider, Power gain in a quantumdot cellular automata latch, Appl. Phys. Lett. 81 (2002) 1332 1334. [6] S. Gardelis, C.G. Smith, J. Cooper, D.A. Ritchie, E.H. Linfield, Y. Jin, Evidence for transfer of polarization in a quantum dot cellular automata cell consisting of semiconductor quantum dots, Phys. Rev. B 67 (2003) 033302 p. 4. [7] C.S. Lent, Molecular electronics bypassing the transistor paradigm, Science 288 (2000) 1597 1599. [8] Q. Hang, Y. Wang, M. Lieberman, G.H. Bernstein, Selective deposition of molecules through polymethyl-methacrylate patterns defined by electron beam lithography, J. Vac. Sci. Technol. B 21 (2003) 227 232. [9] K. Sarveswaran, W. Hu, P. Huber, G.H. Bernstein, M. Niemier, M. Lieberman, Self-assembly and lithographic patterning of DNA rafts DARPA Conference on Foundations of Nanoscience: Selfassembled Architectures and Devices, Snowbird, Utah, April (2004). [10] B.D. Cullity, Introduction to Magnetic Materials, Addison-Wesley, 1972. [11] A. Hubert, R. Schafer, Magnetic Domains, Springer, Berlin, 1998. [12] G. Csaba, A. Imre, G.H. Bernstein, W. Porod, V. Metlushko, Nanocomputing by field-coupled nanomagnets, IEEE Trans. Nanotechnol. 1 (2002) 209. [13] G. Csaba, W. Porod, A.I. Csurgay, A computing architecture composed of field-coupled single domain nanomagnets clocked by magnetic field, Int. J. Circuit Theory Applic 31 (2003) 67. [14] R.P. Cowburn, M.E. Welland, Room temperature magnetic quantum cellular automata, Science 287 (2000) 1466. [15] R.P. Cowburn, Probing antiferromagnetic coupling between nanomagnets, Phys. Rev. B 65 (2002) 092409. [16] C.S. Lent, P.D. Tougaw, Device architecture for computing with quantum dots, Proc. IEEE 85 (1997) 541 557. [17] A. Imre, G. Csaba, G.H. Bernstein, W. Porod, V. Metlushko, Investigation of shape-dependent switching of coupled nanomagnets, Superlattices Microstruct. 34 (2003) 513. [18] G. Csaba, Computing with field-coupled nanomagnets, PhD dissertation, University of Notre Dame, 2004. [19] G. Bazán, G.H. Bernstein, Electron beam lithography over very large scan fields, J. Vac. Sci. Technol. A 11 (1993) 1745 1752. [20] M.J. Donahue, D.G. Porter, OOMMF User s Guide, Version 1.0, Interagency Report NISTIR 6376, http://math.nist.gov/oommf/ [21] M.C.B. Parish, M. Forshaw, Physical constraints on magnetic quantum cellular automata, Appl. Phys. Lett. 83 (2003) 2046.