https://github.com/dpbm/dna-quantum

RNA to DNA using quantum computing
https://github.com/dpbm/dna-quantum

bioinformatics dna dna-transcription python qiskit quantum quantum-computing rna

Last synced: about 2 months ago
JSON representation

RNA to DNA using quantum computing

• Host: GitHub
• URL: https://github.com/dpbm/dna-quantum
• Owner: Dpbm
• Created: 2024-04-17T17:44:10.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-04-17T17:48:02.000Z (9 months ago)
• Last Synced: 2024-04-17T18:55:47.427Z (9 months ago)
• Topics: bioinformatics, dna, dna-transcription, python, qiskit, quantum, quantum-computing, rna
• Language: Jupyter Notebook
• Homepage: https://dpbm.github.io/dna-quantum/
• Size: 60.5 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

Awesome Lists containing this project

README

        
# RNA to DNA using quantum circuits

This is a simple circuit to transcribe a RNA to a DNA using quantum computing

## How it works?

the bases are encoding in two different quantum basis in the Bloch sphere

$C$ and $G$ are encoded in the computational basis using the $X$ gate, while the $A$ and $U$ are encoded in the Hadamard basis using the $H$ gate.

With this protocol, we insert the RNA as gates, then we rotate by $\pi$ using the $RY$ to get the relative base for the DNA.

![example](./example.png)

After that, we have encoded values in two different basis. To get the relative DNA bases, are used measurements on both $Z$ and $X$, and the values are pos-processed by a classical algorithm.

## How to use?

To check the project out, you may need to install some dependencies by running:

```bash

pip install -r requirements.txt

# or with conda

conda deactivate

conda env create -f environment.yml

conda activate dna-quantum

```

Then, you can check the [example.ipynb](./example.ipynb) or the functions source code at [transcode.py](./transcode.py).