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Update README.md

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Michał Kasprowicz 2025-09-16 18:53:21 +00:00
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@ -22,8 +22,8 @@ This project implements a **comprehensive comparison of quantum and classical SV
## Project Structure
```
├── 📁 Data and Experiments
│ ├── qsvm.py # Main experiment controller
├── 📁 Data
│ ├── qsvm.py # Main experiment controller
│ ├── qsvm1_zz.py # Experiment 1: ZZ Feature Maps
│ ├── qsvm2_pauli.py # Experiment 2: Pauli Feature Maps
│ ├── qsvm3_z.py # Experiment 3: Z Feature Maps
@ -36,15 +36,18 @@ This project implements a **comprehensive comparison of quantum and classical SV
│
├── 📁 Results
│
└── 📁 Configuration
├── environment.yml # Conda environment
├── requirements.txt # Python dependencies
└── README.md # This file
├── 📁 Configuration
│ ├── environment.yml # Conda environment
│ └── requirements.txt # Python dependencies
│
└── 📁 Side experiments
├── experiments.py # Experiments file
└── run_experiment.sh # Shell script to run cloud computing using multi thread option
```
## Side Experiments Overview
This directory contains **side experiments** that extend the main quantum brain tumor classification project. The experiments focus on **analyzing the impact of genetic data complexity** and **different gene subsets** on the effectiveness of quantum SVM algorithms.
The directory contains **side experiments** that extend the main quantum brain tumor classification project. The experiments focus on **analyzing the impact of genetic data complexity** and **different gene subsets** on the effectiveness of quantum SVM algorithms.
### Main Research Objectives
@ -290,14 +293,6 @@ PCA_COMPONENTS = 12
python analyze_results.py
```
### Generated Reports
- **Noise robustness plots** (additive vs substitutional)
- **Summary tables** (CSV + LaTeX)
- **Feature map ranking** by robustness
- **Heatmaps** of all results
- **Final reports** with conclusions
### Key Results
Analysis of **81 experiments** shows: