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https://github.com/harshitgarg22/quantum_image_encryption
Quantum Image Encryption implemented in qiskit.
https://github.com/harshitgarg22/quantum_image_encryption
qiskit quantum-computing
Last synced: about 1 month ago
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Quantum Image Encryption implemented in qiskit.
- Host: GitHub
- URL: https://github.com/harshitgarg22/quantum_image_encryption
- Owner: harshitgarg22
- License: gpl-3.0
- Created: 2020-06-21T06:02:52.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2021-03-19T13:45:42.000Z (almost 4 years ago)
- Last Synced: 2023-03-07T16:42:56.924Z (almost 2 years ago)
- Topics: qiskit, quantum-computing
- Language: Python
- Homepage: https://harshitgarg.in/quantum
- Size: 31.3 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 3
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
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*The project is currently under development so all features have not yet been developed.*
# Quantum Image Encryption
An implementation of the 2017 paper on quantum image encryption based on NEQR, 2-D logistic sine map, bit-planes, and gray codes.
[Request Feature](https://github.com/harshitgarg22/quantum_image_encryption/issues)
## Table of Contents
- [Quantum Image Encryption](#quantum-image-encryption)
- [Table of Contents](#table-of-contents)
- [About The Project](#about-the-project)
- [Built With](#built-with)
- [Getting Started](#getting-started)
- [Prerequisites](#prerequisites)
- [Usage](#usage)
- [Roadmap](#roadmap)
- [Contributing](#contributing)
- [License](#license)
- [Contact](#contact)
## About The Project
This is part of the work that I am doing for Practice School-1 internship at UST Global. This project aims to implement Quantum Image Encryption as specified in [this paper](https://ieeexplore.ieee.org/document/8119911) (IEEE link). It uses NEQR, bit-planes, gray codes, and 2-D logistic sine map to achieve this.
### Built With
* [qiskit](https://qiskit.org/)
* [Pillow](https://github.com/python-pillow/Pillow/)
## Getting Started
This short tutorial will guide you to set-up the python environment, generate a random image and run the a demo of the program.
### Prerequisites
1. Clone the repo
```sh
git clone https://github.com/harshitgarg22/quantum_image_encryption.git
```
2. Install packages (**Create a virtual environment first!**)
```sh
python3 -m pip install -r requirements.txt
```
3. (Optional) Generate random 4x4 grayscale pixel image (stored as random.png).
```sh
python3 image.py
```
## Usage
Start demo from `main.py`
```sh
python3 main.py
```
This will take up the image `random.png` and output the encrypted image.
## Roadmap
See the [open issues](https://github.com/harshitgarg22/quantum_image_encryption/issues) for a list of proposed features (and known issues).
## Contributing
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are **greatly appreciated**.
1. Fork the Project
2. Create your Feature Branch (`git checkout -b feature/AmazingFeature`)
3. Commit your Changes (`git commit -m 'Add some AmazingFeature'`)
4. Push to the Branch (`git push origin feature/AmazingFeature`)
5. Open a Pull Request
## License
Distributed under the GPLv3 License. See `LICENSE` for more information.
## Contact
Harshit Garg - [email protected]
Project Link: [github.com/harshitgarg22/quantum_image_encryption/](https://github.com/harshitgarg22/quantum_image_encryption)
[forks-shield]: https://img.shields.io/github/forks/harshitgarg22/quantum_image_encryption
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[license-url]: https://github.com/harshitgarg22/quantum_image_encryption/blob/master/LICENSE