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Related Experiment Video

Updated: Dec 27, 2025

Setting Limits on Supersymmetry Using Simplified Models
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Upper Bounds on the Multiplicative Complexity of Symmetric Boolean Functions.

Luís T A N Brandão1, Çağdaş Çalık1, Meltem Sönmez Turan1

  • 1Cryptographic Technology Group, National Institute of Standards and Technology - 100 Bureau Drive, Gaithersburg, MD 20899, USA.

Cryptography and Communications : Discrete Structures, Boolean Functions and Sequences
|March 3, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces new techniques to reduce the number of AND gates needed for symmetric Boolean functions, achieving better multiplicative complexity (MC) for functions with up to 25 variables.

Keywords:
logic minimizationmultiplicative complexitysymmetric Boolean functionsupper bounds

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Area of Science:

  • Boolean functions
  • Computational complexity theory
  • Circuit complexity

Background:

  • Multiplicative complexity (MC) is a key metric for Boolean functions.
  • Symmetric Boolean functions are invariant under input reordering.
  • Previous upper bounds on MC for symmetric functions were established by Boyar et al. and Boyar and Peralta.

Purpose of the Study:

  • To investigate and reduce the multiplicative complexity (MC) of symmetric Boolean functions.
  • To generate circuits with fewer AND gates for symmetric functions.
  • To provide concrete upper bounds for MC for specific symmetric and counting functions.

Main Methods:

  • Utilized the Hamming weight method.
  • Developed new techniques for circuit construction.
  • Generated circuits for symmetric functions up to 25 variables.

Main Results:

  • Achieved circuits with fewer AND gates than previously known upper bounds.
  • Determined the MC for elementary symmetric and counting functions up to 25 variables.
  • Answered specific open questions regarding the MC of ∑ 4 8 and ∑ 4 8 functions, finding MC 6.
  • Established upper bounds for the maximum MC in n-variable symmetric Boolean functions up to n=132.

Conclusions:

  • The new techniques offer improved multiplicative complexity for symmetric Boolean functions.
  • The study provides significant advancements in understanding the circuit complexity of symmetric functions.
  • This research contributes to the field of Boolean function analysis and circuit design.