Relations between energy complexity measures of Boolean networks and positive sensitivity of Boolean functions

Abstract We study relationships between lower estimates for the energy complexity E ( Σ ), the switching complexity S ( Σ ) of a normalized Boolean network Σ , and the positive sensitivity ps( f ) of the Boolean function f implemented by this circuit. The lower estimate <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mtable columnalign="center" rowspacing="4pt" columnspacing="1em"> <m:mtr> <m:mtd> <m:mstyle displaystyle="true"> <m:mi>E</m:mi> <m:mo stretchy="false">(</m:mo> <m:mrow class="MJX-TeXAtom-ORD"> <m:mi class="MJX-tex-mathit" mathvariant="italic">Σ</m:mi> </m:mrow> <m:mo stretchy="false">)</m:mo> <m:mo>⩾</m:mo> <m:mo fence="false" stretchy="false">⌊</m:mo> <m:mfrac> <m:mrow> <m:mtext>ps</m:mtext> <m:mo stretchy="false">(</m:mo> <m:mi>f</m:mi> <m:mo stretchy="false">)</m:mo> <m:mo>−</m:mo> <m:mn>1</m:mn> </m:mrow> <m:mi>m</m:mi> </m:mfrac> <m:mo fence="false" stretchy="false">⌋</m:mo> </m:mstyle> </m:mtd> </m:mtr> </m:mtable> </m:math> $\begin{array}{} \displaystyle E({\it\Sigma})\geqslant \lfloor\frac{\text{ps}(f)-1}{m}\rfloor \end{array}$ is proved for a sufficiently wide class of bases consisting of monotone Boolean functions of at most m variables, the negation gate, and the Boolean constants 0 and 1. For the switching complexity of circuits, we construct a counterexample which shows that, for the standard basis of elements of the disjunction, conjunction, and negation, there do not exist a linear (with respect to ps( f )) lower estimate for the switching complexity.

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Publication Details

Journal
Discrete Mathematics and Applications
Published
2024-08-01
DOI
https://doi.org/10.1515/dma-2024-0018
Primary Topic
Quantum-Dot Cellular Automata
Type
article
Field-Weighted Citation Impact
0.00
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article

Relations between energy complexity measures of Boolean networks and positive sensitivity of Boolean functions

М.С. Шуплецов, Mikhail Aleksandrovich Mestetskiy
Discrete Mathematics and Applications
Quantum-Dot Cellular Automata
article

Relations between energy complexity measures of Boolean networks and positive sensitivity of Boolean functions

М.С. Шуплецов, Mikhail Aleksandrovich Mestetskiy
article en

Abstract

Abstract We study relationships between lower estimates for the energy complexity E ( Σ ), the switching complexity S ( Σ ) of a normalized Boolean network Σ , and the positive sensitivity ps( f ) of the Boolean function f implemented by this circuit. The lower estimate <m:math xmlns:m="http://www.w3.org/1998/Math/MathML"> <m:mtable columnalign="center" rowspacing="4pt" columnspacing="1em"> <m:mtr> <m:mtd> <m:mstyle displaystyle="true"> <m:mi>E</m:mi> <m:mo stretchy="false">(</m:mo> <m:mrow class="MJX-TeXAtom-ORD"> <m:mi class="MJX-tex-mathit" mathvariant="italic">Σ</m:mi> </m:mrow> <m:mo stretchy="false">)</m:mo> <m:mo>⩾</m:mo> <m:mo fence="false" stretchy="false">⌊</m:mo> <m:mfrac> <m:mrow> <m:mtext>ps</m:mtext> <m:mo stretchy="false">(</m:mo> <m:mi>f</m:mi> <m:mo stretchy="false">)</m:mo> <m:mo>−</m:mo> <m:mn>1</m:mn> </m:mrow> <m:mi>m</m:mi> </m:mfrac> <m:mo fence="false" stretchy="false">⌋</m:mo> </m:mstyle> </m:mtd> </m:mtr> </m:mtable> </m:math> $\begin{array}{} \displaystyle E({\it\Sigma})\geqslant \lfloor\frac{\text{ps}(f)-1}{m}\rfloor \end{array}$ is proved for a sufficiently wide class of bases consisting of monotone Boolean functions of at most m variables, the negation gate, and the Boolean constants 0 and 1. For the switching complexity of circuits, we construct a counterexample which shows that, for the standard basis of elements of the disjunction, conjunction, and negation, there do not exist a linear (with respect to ps( f )) lower estimate for the switching complexity.

Discrete Mathematics and ApplicationsVol. 34(4)
Lomonosov Moscow State University (RU)
Affordable and clean energy
Openalex Percentile: Top 84%
Quantum-Dot Cellular Automata
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Relations between energy complexity measures of Boolean networks and positive sensitivity of Boolean functions — М.С. Шуплецов, Mikhail Aleksandrovich Mestetskiy · Discrete Mathematics and Applications (2024) | TGRS Research Map | TGRS