The "4-diamond circuit" - a minimally complex nano-scale computational building block in QCA

Niemier, Mike; Kogge, Peter M.

doi:10.1109/isvlsi.2004.1339501

Cited by 20 publications

(14 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The goal of this work is to design and evaluate simple FPGA structure using 4:1 Multiplexers. All the circuits are simulated using QCADESIGNER tool [16] [20].Interconnection networks for traditional CMOS FPGAs utilize memory to configure the pass transistors which regulate the flow of information between programmed logic elements [24]. In QCA there are no direct counterparts to Memory or pass transistors, and keep the fabrication complexity to a minimum with the logic elements which are static.…”

Section: Qca Clockingmentioning

confidence: 99%

Study and Implementation of MUX Based FPGA in QCA Technology

Ganesh¹,

Krishnan²

2011

IJDPS

View full text Add to dashboard Cite

QUANTUM DOT CELLULAR AUTOMATAQuantum-dot Cellular Automata (QCA) is an emerging technology that offers a revolutionary approach to computing at nano-level [1]. Quantum dots are nanostructures created from standard semi conductive materials. These structures are modelled as quantum wells. They exhibit energy effects even at distances several hundred times larger than the material system lattice constant. A dot can be visualized as well. Once electrons are trapped inside the dot, it requires higher energy for electron to escape. The fundamental unit of QCA is a QCA cell created with four quantum Dots positioned at the vertices of a square.[2] [3.]. The electrons are quantum mechanical particles and they are able to tunnel between the dots in a cell. The electrons in the cell that are placed adjacent to each other will interact; as a result the polarization of one cell will be directly affected by the polarization of its neighbouring cells.

show abstract

Section: Qca Clockingmentioning

confidence: 99%

Study and Implementation of MUX Based FPGA in QCA Technology

Ganesh¹,

Krishnan²

2011

IJDPS

View full text Add to dashboard Cite

show abstract

“…Earlier efforts based on programming the device by selective clocking end up using NAND gate based logic in a bid to work around the wire crossing problem [6], [7]. The 2-input NAND structures are rather "contrived" gates in the QCA world.…”

Section: Programmable Qca Device Architecturesmentioning

confidence: 99%

“…The use of elaborate structures to build CLBs or routing based basic blocks translate to giving up the benefits of QCA [4], [5], [6], [7]. Also, a subtle property of the QCA paradigm which has largely been ignored when architectures were designed for programmable QCA devices is that the same arrangement of cells can function differently with different clock assignments to the cells.…”

Section: Programmable Qca Device Architecturesmentioning

confidence: 99%

“…It resists the tendency to emulate the concepts of traditional programmable devices seen in architectures proposed by Lanz et al and Amiri et al [4], [5]. Though it depends heavily on the concept of selective clocking, the fact that it retains the full power of the Majority gates and its simplicity elevate it to a class beyond that of the routing block based architectures [6], [7].…”

Section: Programmable Qca Device Architecturesmentioning

confidence: 99%

See 1 more Smart Citation

A tiled programmable fabric using QCA

Devadoss

Paul

Balakrishnan

2010

2010 International Conference on Field-Programmable Technology

View full text Add to dashboard Cite

Quantum-dot Cellular Automata is an interesting computation fabric with many never-seen-before properties. However, no programmable fabric scheme has utilized all these properties effectively. We propose an architecture for a programmable device using QCA which exploits all the specialities of the fabric. The architecture taps the flexibility provided by the clocking system of QCA to build a simple tile based programmable device with the 3-input Majority gate as the fundamental logic element. Observing how a QCA structure can behave as either an interconnect or a logic gate depending on clocking, the proposed architecture merges routing and logic elements, thus drastically changing how programmable fabrics have been designed.

show abstract

“…When examining the existing design of an ALU for a simple processor [11], one version is potentially 1800 times more dense (assuming deterministic cell placement) than an end of the CMOS curve equivalent (0.022 micron process). If based on a more implementable FPGA (whose logic cell is a single NAND gate), the ALU is no less dense than a fully custom, end of the CMOS curve equivalent [12]. Clearly, realizable and potential QCA systems warrant further study.…”

Section: Qca Winsmentioning

confidence: 99%

Partitioning and Placement for Buildable QCA Circuits

Lim

Niemier

Nano, Quantum and Molecular Computing

View full text Add to dashboard Cite

Quantum-dot Cellular Automata (QCA) is a novel computing mechanism that can represent binary information based on spatial distribution of electron charge configuration in chemical molecules. It has the potential to allow for circuits and systems with functional densities that are better than end of the roadmap for CMOS, but also imposes new constraints on system designers. In this article, we present the first partitioning and placement algorithm for automatic QCA layout. The purpose of zone partitioning is to initially partition a given circuit such that a single clock potential modulates the inter-dot barriers in all of the QCA cells within each zone. We then place these zones as well as individual QCA cells in these zones during our placement step. We identify several objectives and constraints that will enhance the buildability of QCA circuits and use them in our optimization process. The results are intended to: (1) define what is computationally interesting and could actually be built within a set of predefined constraints, (2) project what designs will be possible as additional constructs become realizable, and (3) provide a vehicle that we can use to compare QCA systems to silicon-based systems.

show abstract

The "4-diamond circuit" - a minimally complex nano-scale computational building block in QCA

Cited by 20 publications

References 13 publications

Study and Implementation of MUX Based FPGA in QCA Technology

Study and Implementation of MUX Based FPGA in QCA Technology

A tiled programmable fabric using QCA

Partitioning and Placement for Buildable QCA Circuits

Contact Info

Product

Resources

About