Diagrames Tensorials - Notació Gràfica de Penrose

Diagrames Tensorials - Notació Gràfica de Penrose

Tensors — Jet 0.2.2 documentation

Tensors can be described as multi-dimensional arrays, where the dimension is called the rank. A tensor of rank 0 is a scalar, a tensor of rank 1 is a vector and a tensor of rank 2 is a matrix, but in general tensors can have arbitrary rank. Visually, tensors are usually represented as circles with legs:

Tensors — Jet 0.2.2 documentation

https://quantum-jet.readthedocs.io/en/stable/use/tensors.html

iopscience.iop.org

https://iopscience.iop.org/article/10.1088/1751-8121/aa6dc3/pdf

Tensor Network Diagrams.pdf

Penrose’s Graphical Notation

In this article, we will learn how to represent Tensors graphically using Penrose’s graphical notation.

Penrose’s Graphical Notation

https://medium.com/analytics-vidhya/penroses-graphical-notation-fe4c2f24cf3b

Penrose’s Graphical Notation

The Tensor Network

Resources for tensor network algorithms, theory, and software

The Tensor Network

https://tensornetwork.org/diagrams/

Graphical tensor notation for interpretability — LessWrong

It's often easy to get confused about which operations are happening between tensors and lose sight of the overall structure, but graphical notation makes it easier to parse things at a glance. The first half of this post introduces the notation, while the second half applies it to A Mathematical Framework for Transformer Circuits. In the middle we'll also look at the SVD and some of its higher order extensions, as well as tensor-network decompositions.

Graphical tensor notation for interpretability — LessWrong

https://www.lesswrong.com/posts/BQKKQiBmc63fwjDrj/graphical-tensor-notation-for-interpretability

Graphical tensor notation for interpretability — LessWrong

P_Tutorial 1: Tensor Contract... | Tensors.net

Please look at the tutorials readme page if you have not done so already. In this tutorial you will learn the basics of manipulating tensors and contracting tensor networks efficiently, including:

P_Tutorial 1: Tensor Contract... | Tensors.net

https://www.tensors.net/p-tutorial-1