Free Lesson
Build your first quantum support vector machine
45 min
Mar 3, 2026 11:00 AM
Virtual (Zoom)
In this video
What you'll learn
Quantum support vector machine model
Understand the key similarities and differences between classical and quantum SVMs.
Why quantum SVM can be better than classical SVM
Learn how quantum SVMs access exponentially larger kernel spaces without added computational cost.
Implement quantum SVM in Qiskit 2.3 on real dataset
Code a quantum SVM in Qiskit 2.3 and apply it to binary classification of a leukemia dataset.
Why this topic matters
Support Vector Machines underpin kernel methods in classical ML and provide a clear gateway to quantum advantage. Their reliance on inner products maps naturally to quantum state overlaps. Implementing Quantum SVMs in Qiskit enables direct comparison with classical models, clarifying where quantum feature maps and kernel evaluations may offer meaningful gains.
You'll learn from
Dr. Muhammad Faryad
IBM-Certified Quantum Developer, QML Scientist, Qiskit Advocate