TRIQS (Toolbox for Research on Interacting Quantum Systems) is a scientific project providing a set of C++ and Python libraries to develop new tools for the study of interacting quantum systems.
The goal of this toolkit is to provide high level, efficient and simple to use libraries in C++ and Python, and to promote the use of modern programming techniques.
TRIQS is free software distributed under the GPL license.
TRIQS School 2023
We are excited to announce the TRIQS Summer School 2023. The event will take place from August 28th to September 2nd near Paris, France.
The four day program will cover the topics
- Refresher in Many-Body Theory
- Dynamical mean-field theory for model and ab-initio systems
- Monte-Carlo Methods and Continuous-time Quantum Monte-Carlo
- Two-particle response functions within RPA and TPSC
as theoretical lectures (12h total) and as hands-on tutorials (16h total) using the TRIQS software platform. The Summer School is targeted at students at the doctoral or master level. Applications can be submitted through the event website.
Based on the TRIQS toolkit, several full-fledged applications are also available. They allow for example to solve a generic quantum impurity model or to run a complete DFT+DMFT calculation.
Developed in a collaboration between IPhT Saclay and Ecole Polytechnique since 2005, the TRIQS library and applications have allowed us to address questions as diverse as:
- Momentum-selective aspects on cuprate superconductors (with various cluster DMFT methods)
- Degree of correlation in iron-based superconductors (within an DFT+DMFT approach)
- Fermionic Mott transition and exploration of Sarma phase in cold-atoms
Python & C++
The libraries exist at two complementary levels: on the one hand, C++ libraries allow to quickly develop high-performance low-level codes; on the other hand python libraries implement the most common many-body objects, like Green’s functions, that can be manipulated easily in python scripts.
This duality is a real advantage in the development of new many-body tools. Critical parts where performance is essential can be written in C++ (e.g. a quantum impurity solver) while the data analysis, preparation of the inputs or interface with other programs can be done at the very user-friendly python level.
Where to start?
First, visit our Install section to obtain the TRIQS library.
We then strongly recommend first-time users to go through the extensive set of Jupyter Notebook tutorials provided on GitHub. You can run the notebooks either in an interactive Binder Session on the web or run them locally after setting up TRIQS on your computer.
To get an overview of the main TRIQS classes and their organizations, you can browse through the ready-to-use code snippets of our User guide section.
After those steps, you will be familiar with the library and can use the complete Documentation to answer your questions.
If you experience any problem with the library, we have set up a platform for discussions with other users and developers through the Github Discussions forum. You can also post an issue on the TRIQS GitHub.
Finally, if you want to contribute to the project, please check our Contributing section.