Quantum Cloud Integration: Potential Impact of Quantum Computing on Cloud Storage

Overview

This repository presents the research and practical implementation of hybrid cloud-quantum systems. The project focuses on exploring the potential impact of quantum computing on cloud storage, specifically using AWS, IBM Quantum, and GitHub for version control.

The goal is to investigate how integrating quantum computing into traditional cloud environments can revolutionize storage systems by enhancing speed, security, and computational power.

Project Structure

quantum-cloud-integration/
│
├── Dockerfile                  # Container configuration for setting up the environment
├── requirements.txt            # Python dependencies for the project
├── src/                        # Source code for the hybrid cloud-quantum integration
│   ├── quantum_cloud.py        # Main script for handling quantum and cloud interaction
│   └── aws_storage.py          # AWS integration for cloud storage
│
├── docs/                       # Documentation for the project
│   └── research_paper.md       # Research findings and literature review
│
├── notebooks/                  # Jupyter notebooks for quantum simulations
│   └── quantum_experiments.ipynb # IBM Quantum experiments and test results
│
├── .gitignore                  # Files and directories to ignore in version control
├── README.md                   # Project overview and documentation (this file)
└── LICENSE                     # Licensing information

Installation

Prerequisites

To run this project, you need the following installed on your local machine:

• Docker (to containerize and run the project)
• Python 3.x (for executing scripts)
• IBM Quantum Experience Account (for running quantum experiments)
• AWS Account (for cloud storage integration)

Steps to Set Up

1. Clone the repository:

   git clone https://github.com/PriyanshuKSharma/quantum-cloud-integration.git
   cd quantum-cloud-integration

2. Install dependencies using the requirements.txt file:

   pip install -r requirements.txt

3. Set up Docker: If you prefer using Docker to run the project in a containerized environment, follow these steps:

   • Build the Docker image:

     docker build -t quantum-cloud .

   • Run the Docker container:

     docker run -it quantum-cloud

4. Configure AWS and IBM Quantum:

   • Make sure to configure your AWS credentials and set up access to your IBM Quantum account.

Dockerfile

The Dockerfile sets up a containerized environment with all the necessary dependencies. It installs Python, Docker CLI, and libraries required for AWS and IBM Quantum integration.

# Use official Python base image
FROM python:3.9-slim

# Set up working directory
WORKDIR /app

# Copy the project files
COPY . /app

# Install Python dependencies
RUN pip install -r requirements.txt

# Install Docker CLI (needed for cloud interaction)
RUN apt-get update && apt-get install -y docker.io

# Set entry point
CMD ["python", "src/quantum_cloud.py"]

requirements.txt

This file lists all the Python libraries and packages required to run the project.

qiskit==0.36.2
boto3==1.24.28
flask==2.1.1
numpy==1.22.4
pandas==1.4.2

Features

• Hybrid Cloud-Quantum Systems: The integration of cloud storage using AWS with quantum computing via IBM Quantum.
• Quantum Simulation: Use of quantum algorithms to test cloud storage encryption.
• Dockerized Environment: Run the project in a container for easier setup and scalability.

Usage

Once you have set up the environment, you can start interacting with the hybrid system using the provided Python scripts. Here’s how to run a basic experiment:

python src/quantum_cloud.py

The script will simulate a quantum computing task and integrate it with AWS cloud storage, showcasing the potential applications of quantum computing in cloud environments.

Contributions

Feel free to submit issues or pull requests if you find bugs or have suggestions for improvements.

License

This project is not licensed.