Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 206

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Estimation of Upper Bound of Power Dissipation in QCA Circuits

Open access
Srivastava, S., Sarkar, S., Bhanja, S.·2009·IEEE Transactions on Nanotechnology

Abstract

Quantum-dot cellular automata (QCA) is a field-coupled computing paradigm. States of a cell change due to mutual interactions of either electrostatic or magnetic fields. Due to their small sizes, power is an important design parameter. In this paper, we derive an upper bound for power loss that will occur with input change, even with the circuit staying at respective ground states before and after the change. This bound is computationally efficient to compute for large QCA circuits since it just requires the knowledge of the before and after ground states due to input change. We categorize power loss in clocked QCA circuits into two types that are commonly used in circuit theory: switching power and leakage power. Leakage power loss is independent of input states and occurs when the clock energy is raised or lowered to depolarize or polarize a cell. Switching power is dependent on input combinations and occurs at the instant when the cell actually changes state. Total power loss is controlled by changing the rate of change of transitions in the clocking function. Our model provides an estimate of power loss in a QCA circuit for clocks with sharp transitions, which result in nonadiabatic operations and gives us the upper bound of power expended. We derive expressions for upper bounds of switching and leakage power that are easy to compute. Upper bounds obviously are pessimistic estimates, but are necessary to design robust circuits, leaving room for operational manufacturing variability. Given that thermal issues are critical to QCA designs, we show how our model can be valuable for QCA design automation in multiple ways. It can be used to quickly locate potential thermal hot spots in a QCA circuit. The model can also be used to correlate power loss with different input vector switching; power loss is dependent on the input vector. We can study the tradeoff between switching and leakage power in QCA circuits. And, we can use the model to vet different designs of the same logic, which we demonstrate for the full adder.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/tnano.2008.2005408

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 1 references

Cited by

See all 206

Metadata

Authors
Srivastava, S., Sarkar, S., & Bhanja, S.
Venue
IEEE Transactions on Nanotechnology
Published
2009-01
Volume
8
Issue
1
Pages
116-127
ISSN
  • 1536-125X (ISSN-L)
  • 1941-0085
OpenAlex
W2150675293
Cited by
206
References
1
FWCI
3.92
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Estimation of Upper Bound of Power Dissipation in QCA Circuits. https://app.cochat.ai/papers/10.1109/tnano.2008.2005408
The paper
Srivastava, S., Sarkar, S., & Bhanja, S. (2009). Estimation of Upper Bound of Power Dissipation in QCA Circuits. IEEE Transactions on Nanotechnology. https://doi.org/10.1109/tnano.2008.2005408

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.