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Dimension-counting bounds for equi-isoclinic subspaces

Published: November 25, 2025 | arXiv ID: 2511.20642v1

By: Joseph W. Iverson, Kaysie Rose O

Potential Business Impact:

Finds more ways to pack information efficiently.

Business Areas:
Quantum Computing Science and Engineering

We make four contributions to the theory of optimal subspace packings and equi-isoclinic subspaces: (1) a new lower bound for block coherence, (2) an exact count of equi-isoclinic subspaces of even dimension $r$ in $\mathbb{R}^{2r+1}$ with parameter $α\neq \tfrac{1}{2}$, (3) a new upper bound for the number of $r$-dimensional equi-isoclinic subspaces in $\mathbb{R}^d$ or $\mathbb{C}^d$, and (4) a proof that when $d=2r$, a further refinement of this bound is attained for every $r$ in the complex case and every $r=2^k$ in the real case. For each of these contributions, the proof ultimately relies on a dimension count.

Page Count
25 pages

Category
Computer Science:
Information Theory