https://github.com/zeionara/fermale

An exploratory project for testing ways in which fermionic systems can be applied to solve machine learning problems
https://github.com/zeionara/fermale

Last synced: 3 months ago
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An exploratory project for testing ways in which fermionic systems can be applied to solve machine learning problems

• Host: GitHub
• URL: https://github.com/zeionara/fermale
• Owner: zeionara
• License: apache-2.0
• Created: 2021-05-09T18:41:59.000Z (about 4 years ago)
• Default Branch: master
• Last Pushed: 2021-05-11T18:36:12.000Z (about 4 years ago)
• Last Synced: 2025-01-02T07:46:17.553Z (5 months ago)
• Language: Python
• Size: 93.8 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Fermale



  



Fermale (which stands for **fer**mionic systems for **ma**chine **le**arning) is an exploratory project for testing ways in which fermionic systems can be applied to solve machine learning problems.

## Setting up environment

To create a conda environment and install all required dependencies execute the following command:

```sh

conda create -f environment.yml

```

## Launching

To run supported commands active the environment created on setup and execute desired operation:

```sh

python -m fermale test-operators-initialization -c 1.7

```

## Some results

![energy levels of the hubbard model decrease linearly when x increases](assets/hubbard/x.jpeg)

![energy levels of the hubbard model decrease linearly when y increases](assets/hubbard/y.jpeg)

![energy levels of the hubbard model decrease linearly when tunneling coefficient increases](assets/hubbard/t.jpeg)