Tensor Networks
Type: Concept
As of November 2026, Tensor Networks has been mentioned in one podcast episode on Simons Foundation (Jan 2026). Used as a numerical method to study the spectrum and ground state of adjoint QCD, especially for small values of n.
A tensor network is a representation of a high-dimensional array or multilinear map as a collection of smaller tensors whose indices are contracted according to a graph: vertices represent tensors, an edge joining two vertices represents an index that is summed over, and an open edge represents a free index of the resulting object; the dimension of an internal edge is called its bond dimension. Tensor networks can represent many-body wave functions and density operators, partition functions, Ham
| Mentioned in | 1 episode on 1 podcast (as of November 2026) |
|---|---|
| First heard | Jan 2026 on Simons Foundation |
| Field | Physics |
Who talks about Tensor Networks on podcasts?
Tensor Networks came up; the most recent mention was Jan 2026 on Simons Foundation.