Quantum Tensor Sequence (.qtsq): Empirical Validation of Gravitational Mesh Compression
Year: 2026
Type: article
Abstract: This paper presents the first empirical results from the reference implementation of the Quantum Tensor Sequence (.qtsq) format — a type-aware compression architecture that replaces rigid pixel grids with adaptive Delaunay triangle meshes for images, and uses schema-aware dictionary encoding for structured text data. We test three compression modes (Compact, HD, Lossless) against high-resolution photographs and a 645 KB JSON payload, reporting file size ratios and visual reconstruction quality. The results validate the core thesis that storing mathematical recipes rather than raw bytes is a viable approach to data compression.
Author: Haruhito
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7143050704
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