Advances in Algebraic Circuit Factorization and Error Correction

The field of algebraic circuit factorization and error correction is witnessing significant developments, with a focus on deterministic algorithms and improved decoding techniques. Researchers are making progress in designing efficient deterministic algorithms for factorizing constant-depth algebraic circuits, which is a long-standing open problem. Additionally, new constructions of binary cyclic codes with large minimum distance and dual distance are being proposed, advancing the state of the art in error correction. Noteworthy papers include:

  • A deterministic algorithm for factorizing constant-depth algebraic circuits in subexponential time, which gives the first subexponential time deterministic algorithm for factoring sparse polynomials.
  • A decoding algorithm for simultaneous rational number reconstruction with multiplicities, which provides a comprehensive probabilistic analysis of reconstruction failure in complex scenarios.
  • New constructions of binary cyclic codes with both relatively large minimum distance and dual distance, which achieve better parameters than previous results.

Sources

Deterministic factorization of constant-depth algebraic circuits in subexponential time

Simultaneous Rational Number Codes: Decoding Beyond Half the Minimum Distance with Multiplicities and Bad Primes

New Constructions of Binary Cyclic Codes with Both Relatively Large Minimum Distance and Dual Distance

Easy repair via codes with simplex locality

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