Classifying optimal binary subspace codes of length 8, constant dimension 4 and minimum distance 6
Daniel Heinlein, Thomas Honold, Michael Kiermaier, Sascha Kurz, and, Alfred Wassermann

TL;DR
This paper determines the maximum size of a specific binary subspace code with length 8, constant dimension 4, and minimum distance 6, establishing it as 257 through classification and integer linear programming.
Contribution
It provides the first complete classification of optimal binary subspace codes of this type and size, combining geometric and computational methods.
Findings
Maximum size of the code is 257.
Extended lifted maximum rank distance codes are optimal.
The result applies to both constant and mixed-dimension codes.
Abstract
The maximum size of a binary subspace code of packet length , minimum subspace distance , and constant dimension is , where the isomorphism types are extended lifted maximum rank distance codes. In finite geometry terms the maximum number of solids in , mutually intersecting in at most a point, is . The result was obtained by combining the classification of substructures with integer linear programming techniques. This implies that the maximum size of a binary mixed-dimension code of packet length and minimum subspace distance is as well.
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