Lab

In this lab, we will:

• Load and preprocess the AndroidMalware dataset

• Implement classical SVM using scikit-learn

• Implement QSVM in PennyLane

• Compare SVM and QSVM in terms of accuracy

Step 3: Preprocessing the dataset

Step 4: Build an SVM model

Step 4: Build a Quantum Device

Step 5: Build a Quantum Kernel

Detailed explanation

Step 6: Replace the Classical Kernel Function with Quantum Kernel

Step 7: Print the Result

details

Link for the code: Code Link (Time took to run the code: 5-10 min)

Link for Dataset: Dataset Link