https://github.com/borjarequena/bounce

https://github.com/borjarequena/bounce

machine-learning many-body-physics quantum quantum-information reinforcement-learning

Last synced: 6 months ago
JSON representation

• Host: GitHub
• URL: https://github.com/borjarequena/bounce
• Owner: BorjaRequena
• License: apache-2.0
• Created: 2021-03-05T15:25:36.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2024-06-01T22:18:23.000Z (over 1 year ago)
• Last Synced: 2025-03-28T03:32:34.303Z (7 months ago)
• Topics: machine-learning, many-body-physics, quantum, quantum-information, reinforcement-learning
• Language: Jupyter Notebook
• Homepage: https://borjarequena.github.io/bounce/
• Size: 6.75 MB
• Stars: 5
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Contributing: CONTRIBUTING.md
  • License: LICENSE

Awesome Lists containing this project

README

          
BOUNCE

================





Documentation \|

Tutorials

\| Cite us



We have originally developed this library for the paper [**Certificates

of quantum many-body properties assisted by machine

learning**](https://arxiv.org/abs/2103.03830). Here, you will find the

source code used to obtain the paper results in the

[tutorials](https://borjarequena.github.io/bounce/tutorial/introduction.html).

# Installation

In order to use the library, you will have to clone this repository with

`git clone https://github.com/BorjaRequena/bounce.git` and install it

via `pip install bounce`. In order to edit the source code and adapt it

to your particular problems, you may want to install it in editable form

with `pip install -e bounce`.



> **Note**

>

> In order to perform the installation, you can either provide the full

> path to the repository or be in the immediately higher level. For

> instance, if the repository is in the directory `~/what/ever/bounce`,

> go to `~/what/ever/` directory to run the `pip install -e bounce`

> command, otherwise you can run `pip install -e ~/what/ever/bounce`. If

> this ever gets momentum, we’ll put it on pypi :)



# Cite us

When using this library, please cite us!

It is very important for us to cite our original work:

    @article{Requena2023PRR,

      title     = {Certificates of quantum many-body properties assisted by machine learning},

      author    = {Requena, Borja and Mu\~noz-Gil, Gorka and Lewenstein, Maciej and Dunjko, Vedran and Tura, Jordi},

      journal   = {Phys. Rev. Res.},

      volume    = {5},

      issue     = {1},

      pages     = {013097},

      numpages  = {26},

      year      = {2023},

      month     = {Feb},

      publisher = {American Physical Society},

      doi       = {10.1103/PhysRevResearch.5.013097},

      url       = {https://link.aps.org/doi/10.1103/PhysRevResearch.5.013097}

    }

along this repository:

    @Software{Requena2021Zenodo,

      author    = {Requena, Borja and Muñoz-Gil, Gorka and Tura, Jordi},

      doi       = {10.5281/zenodo.4585623},

      month     = mar,

      publisher = {Zenodo},

      title     = {BorjaRequena/BOUNCE},

      url       = {https://doi.org/10.5281/zenodo.4585623},

      year      = {2021},

    }