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b1ackd0t
76 lines
3.1 KiB
Markdown
76 lines
3.1 KiB
Markdown
# variational-quantum-classifier-on-heartattack
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Implement variational quantum classifier on heart attack data available on kaggle with the aim to understand different variational models and different feature maps
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## Running the notebooks
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1. Create a virtual environment:
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```bash
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python3 -m venv venv
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```
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2. Activate the environment:
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```bash
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source venv/bin/activate
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```
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3. Update `pip`:
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```bash
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pip install --upgrade pip
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```
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4. Install requirements
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```bash
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pip install -r requirements.txt
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```
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5. Clone the repo
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```bash
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git clone https://github.com/0x6f736f646f/variational-quantum-classifier-on-heartattack
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```
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6. Launch Jupyter Notebook:
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```
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jupyter notebook
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```
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7. Open and run the jupyter notebooks under `Src/Notebooks`
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## Project Structure
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1. [01dataExploration.ipynb](https://github.com/0x6f736f646f/variational-quantum-classifier-on-heartattack/blob/main/Src/Notebooks/01dataExploration.ipynb) Data exploration
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2. [02-pennylane.ipynb](https://github.com/0x6f736f646f/variational-quantum-classifier-on-heartattack/blob/main/Src/Notebooks/02-pennylane.ipynb) Pennylane version of VQE
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3. [02-qiskit.ipynb](https://github.com/0x6f736f646f/variational-quantum-classifier-on-heartattack/blob/main/Src/Notebooks/02-qiskit.ipynb) Qiskit version of VQE implementation
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4. [03-analyseBenchmarks.ipynb](https://github.com/0x6f736f646f/variational-quantum-classifier-on-heartattack/blob/main/Src/Notebooks/03-analyseBenchmarks.ipynb) Analysing benchmarks
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5. [04generateImages.ipynb](https://github.com/0x6f736f646f/variational-quantum-classifier-on-heartattack/blob/main/Src/Notebooks/04generateImages.ipynb) Notebook to generate images
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6. [05cleanwinedata.ipynb](https://github.com/0x6f736f646f/variational-quantum-classifier-on-heartattack/blob/main/Src/Notebooks/05cleanwinedata.ipynb) Cleaning wine data
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7. [06validatewine.ipynb](https://github.com/0x6f736f646f/variational-quantum-classifier-on-heartattack/blob/main/Src/Notebooks/06validatewine.ipynb) Validating wine data
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8. [07cleanirisdata.ipynb](https://github.com/0x6f736f646f/variational-quantum-classifier-on-heartattack/blob/main/Src/Notebooks/07cleanirisdata.ipynb) Cleaning iris data
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9. [08validateiris.ipynb](https://github.com/0x6f736f646f/variational-quantum-classifier-on-heartattack/blob/main/Src/Notebooks/08validateiris.ipynb) Validating iris data
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10. [09analysewine.ipynb](https://github.com/0x6f736f646f/variational-quantum-classifier-on-heartattack/blob/main/Src/Notebooks/09analysewine.ipynb) Analyse wine data
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11. [09generalisation.ipynb](https://github.com/0x6f736f646f/variational-quantum-classifier-on-heartattack/blob/main/Src/Notebooks/09generalisation.ipynb) Generalisation of all models
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12. [10analyseiris.ipynb](https://github.com/0x6f736f646f/variational-quantum-classifier-on-heartattack/blob/main/Src/Notebooks/10analyseiris.ipynb) Analyse iris data
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## Acknowledgements
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I would like to thank my mentor **Amira Abbas** for her constant support and guidance without who this project wouldn't have taken shape. I would also like to thank the **QOSF** team for giving me this fantastic opportunity of being a part of an awesome mentorship program.
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