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PreprintCC BY 4.0arXiv

New Records for the Hadamard Maximal Determinant Problem

Abstract

The Hadamard maximal determinant problem seeks an n× n matrix X with entries in {± 1}, which maximizes the determinant | det X | for a given order n ∈ ℕ. We report matrices attaining new record determinants for orders n≡ 3pmod4 between $103$ and $119$, as well as n=51. We provide a proof of optimality within a specific family of circulant--block constructions for X. For these orders, we recast the Hadamard problem as a sequence reconstruction problem from a pair of periodic autocorrelation functions, subject to certain arithmetic conditions. We describe several learning--based strategies for reconstruction and provide a comparison with classical simulated annealing--style approaches as a benchmark.

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BibTeX
@misc{butbaia2026records,
  title = {{New Records for the Hadamard Maximal Determinant Problem}},
  author = {Giorgi Butbaia and Justin Tan and Pragatheeswaran Vipulanandan and Xiaoyu Huang and Toby Saunders-A'Court and Lucas Fagan and Davide Passaro and Michele Tarquini and Sergei Gukov},
  howpublished = {arXiv},
  year = {2026},
  month = oct,
  doi = {10.48550/arxiv.2608.22518},
  eprint = {2608.22518},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.22518},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - New Records for the Hadamard Maximal Determinant Problem
AU  - Giorgi Butbaia
AU  - Justin Tan
AU  - Pragatheeswaran Vipulanandan
AU  - Xiaoyu Huang
AU  - Toby Saunders-A'Court
AU  - Lucas Fagan
AU  - Davide Passaro
AU  - Michele Tarquini
AU  - Sergei Gukov
PY  - 2026
DA  - 2026/10/01
PB  - arXiv
DO  - 10.48550/arxiv.2608.22518
UR  - https://arxiv.org/abs/2608.22518
AB  - The Hadamard maximal determinant problem seeks an n× n matrix X with entries in {± 1}, which maximizes the determinant | det X | for a given order n ∈ ℕ. We report matrices attaining new record determinants for orders n≡ 3pmod4 between $103$ and $119$, as well as n=51. We provide a proof of optimality within a specific family of circulant--block constructions for X. For these orders, we recast the Hadamard problem as a sequence reconstruction problem from a pair of periodic autocorrelation functions, subject to certain arithmetic conditions. We describe several learning--based strategies for reconstruction and provide a comparison with classical simulated annealing--style approaches as a benchmark.
ER  -