https://github.com/albertnieto/quantum-perceptron

Quantum perceptron using Grover, implemented with Pennylane.
https://github.com/albertnieto/quantum-perceptron

perceptron quantum-computing quantum-machine-learning

Last synced: about 1 month ago
JSON representation

Quantum perceptron using Grover, implemented with Pennylane.

• Host: GitHub
• URL: https://github.com/albertnieto/quantum-perceptron
• Owner: albertnieto
• License: apache-2.0
• Created: 2024-10-11T13:28:32.000Z (4 months ago)
• Default Branch: main
• Last Pushed: 2024-10-11T15:26:18.000Z (4 months ago)
• Last Synced: 2024-11-06T19:36:56.347Z (3 months ago)
• Topics: perceptron, quantum-computing, quantum-machine-learning
• Language: Jupyter Notebook
• Homepage:
• Size: 50.8 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Quantum perceptron

This repository implements three different quantum perceptron models using Grover's algorithm with PennyLane. It also includes a classical perceptron for comparison. The models are designed to share common functions where applicable. Comprehensive tests are provided to ensure correctness, and a Jupyter notebook demonstrates executions, results, and comparisons.

## Repository structure

- `models/`: Contains implementations of classical and quantum perceptrons.

- `tests/`: Unit tests for each model and shared utilities.

- `notebooks/`: Jupyter notebook for executing and comparing models.

- `requirements.txt`: Dependencies required to run the code.

## Setup instructions

### 1. Clone the repository

```bash

git clone https://github.com/albertnieto/quantum-perceptron.git

cd quantum_perceptron

```

### 2. Create and activate a virtual environment

```bash

python -m venv venv

source venv/bin/activate  # On Windows use `venv\Scripts\activate`

```

### 3. Install dependencies

```bash

pip install -r requirements.txt

```

### 4. Run tests

```bash

pytest

```

### 5. Run the Jupyter notebook

```bash

jupyter notebook notebooks/quantum_perceptron_comparison.ipynb

```