qotlabs / qtensor

Manipulate quantum states in the Tensor Train format

QTensor

This library is a python implementation using the PyTorch framework for working with quantum states in the Tensor Train format. The library itself is located in the qtensor folder, and the examples folder contains typical examples.

Installation

It is recommended to install the library in a virtual environment. You also need to install the numpy, scipy, matplotlib, tqdm and torch libraries into this virtual environment.

Linux

   python -m venv QTensor
   source QTensor/bin/activate

Windows

   python -m venv QTensor
   QTensor\Scripts\activate.bat 

Installing from source code

To install the stable or development version, you need to install from the source. First, clone the repository:

   git clone https://gitlab.com/SergeiKuzmin/qtensor.git

   python setup.py install

What those packages do

They have the following functionality:

• qtensor : The library itself
• qtensor._mps : Implements a quantum state in Tensor Train format
• qtensor._state : Implements a quantum state in the usual format
• qtensor._circuit : Contains basic quantum circuits
• qtensor._ham : Contains the basic hamiltonians

Current maintainer is Sergei Kuzmin.