(1.00 +0.00i) |1,2,>,V⟩ ->
(-0.71 +0.00i) |1,2,>,H⟩ + (0.71 +0.00i) |1,2,>,V⟩
We base the philosophy of this package on:
- Sparse operations (both for vectors and matrices)
- Complex numbers
- Tensor structure
- Named tensor dimensions (vide Tensors considered harmful): there is a difference between a 2x2 operator on spin and polarization. It helps with catching errors.
The easiest way is to install from the NPM repository:
npm install quantum-tensors
Or, if you use yarn package manager,
yarn add quantum-tensors
If you want to install a development version, you can get this package directly from this GitHub repository. In this case, the commands are:
npm install Quantum-Flytrap/quantum-tensors#master
Or if you use yarn:
yarn add Quantum-Flytrap/quantum-tensors#master
And then in your project write:
import * as qt from 'quantum-tensors'
There are a few examples in demos folder.
For "Quantum Game 2" we needed a fast and precise way to simulate quantum stuff, so after tinkering with mathjs and TensorFlow.js we decided to code what we need from scratch. At some point, we may want to use one of these libraries for backend, if we discover that it helps.
Also, https://github.com/stared/thinking-in-tensors-writing-in-pytorch by Piotr Migdał.
- Create TSDoc for each new function, class, and method
- Setup ESLint configured as in this
- Try to adhere to Angular-like commit style
A few insights on contributing, and starting your projects, are in How I Learned to Stop Worrying and Love the Types & Tests: the Zen of Python for TypeScript by Piotr Migdał.
- A better notation (e.g.
⨂(op1, opt2, op3))
- An equation viewer