Tensor types and their use in physics
Andreas Bauer, Alexander Nietner

TL;DR
This paper introduces a hierarchical framework using 2-schemes to formalize tensor types, which are crucial for modeling various physical systems through graphical tensor network calculus.
Contribution
It develops a new language for expressing categorical structures via 2-schemes, focusing on tensor types and their applications in physics.
Findings
Defines a hierarchy of 2-schemes including tensor types
Connects tensor types to graphical tensor network calculus
Provides concrete examples relevant to physical models
Abstract
The content of this paper can be roughly organized into a three-level hierarchy of generality. At the first, most general level, we introduce a new language which allows us to express various categorical structures in a systematic and explicit manner in terms of so-called 2-schemes. Although 2-schemes can formalize categorical structures such as symmetric monoidal categories, they are not limited to this, and can be used to define structures with no categorical analogue. Most categorical structures come with an effective graphical calculus such as string diagrams for symmetric monoidal categories, and the same is true more generally for interesting 2-schemes. In this work, we focus on one particular non-categorical 2-scheme, whose instances we refer to as tensor types. At the second level of the hierarchy, we work out different flavors of this 2-scheme in detail. The effective graphical…
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Taxonomy
TopicsComputational Physics and Python Applications · Tensor decomposition and applications · Black Holes and Theoretical Physics
