diff --git a/README.md b/README.md index 5315947..b9205b8 100644 --- a/README.md +++ b/README.md @@ -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: