The Quine-McCluskey Logic Minimization project aims to implement a C/C++ program that utilizes the Quine-McCluskey algorithm to minimize Boolean expressions. This algorithm is essential in digital ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Dataset Input ↓ Data Preprocessing ↓ Feature Selection (Chi-Square, ANOVA) ↓ Feature Extraction (PCA) ↓ Standalone ML Models ↓ QMBC Ensemble Classifier ↓ Prediction & Evaluation Metrics --- ## 🔬 ...

In this tutorial, we present an advanced, hands-on tutorial that demonstrates how we use Qrisp to build and execute non-trivial quantum algorithms. We walk through core Qrisp abstractions for quantum ...