Tensor network

Imagine you have a bunch of legos and you want to build a really big structure like a castle. But you can't use all the legos at once, so you need to build smaller parts and then put them together.

A tensor network is kind of like building a big structure out of legos. It's a way of breaking down a big problem into smaller parts that are easier to work with.

A tensor is just a fancy math word for something that has multiple parts that are all related to each other. Think of a tensor like a pile of legos that are all stuck together.

In a tensor network, you take a big tensor and break it down into smaller tensors. Then you connect those smaller tensors together in a specific way to make the big tensor. It's like taking a bunch of lego structures and connecting them together to make a big castle.

The way you connect the tensors in a tensor network is called the network structure. There are different kinds of network structures depending on what you're trying to do.

Tensor networks are used in lots of areas of science and math, like physics and computer science. They're especially useful when you're working with lots of data or trying to solve really hard problems.