quantum

This project is dedicated to exploring and implementing quantum algorithms using Qiskit, an open-source quantum computing framework.

Overview

This repository will serve as a collection of quantum algorithms, ranging from foundational concepts to advanced implementations. The goal is to provide a hands-on approach to learning quantum computing and experimenting with Qiskit.

Features

• Implementation of quantum algorithms such as:
  • Simple Quantum Teleportation
  • Superdense Coding
  • Grover's Search Algorithm
  • Shor's Algorithm
  • Quantum Fourier Transform (QFT)
• Simulations and results using Qiskit Aer
• Support for running on IBM Quantum hardware #TODO

Prerequisites

To get started, ensure you have the following installed:

• Python 3.11 or later
• Qiskit
• Jupyter Notebook

Installation

1. Create a virtual environment (optional but recommended):

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

2. Install dependencies:

   pip install -r requirements.txt

3. Launch Jupyter Notebook:

   jupyter notebook

4. Open the Jupyter notebooks in the notebooks/ directory.

5. If you want to run the code on IBM Quantum hardware, set up your IBM Quantum account and add input API token in designated place in the code.

Usage

1. Run the Jupyter notebooks in the notebooks/.
2. Modify and experiment with the code to deepen your understanding.