Staging environment
Free Lesson

Build Quantum Neural Networks in Qiskit

45 min
May 19, 2026 5:30 AM
Virtual (Zoom)

In this video

What you'll learn

Quantum neural network model

Understand the key similarities and differences between classical and quantum neural network.

Why quantum NNs can be better than classical NNs

Learn how quantum NNs access exponentially larger vector spaces.

Implement quantum NNs in Qiskit 2.3 on real dataset

Code a quantum NN in Qiskit 2.3 and apply it to binary classification of a leukemia dataset.

Why this topic matters

Quantum ML is moving from theory to practice, and tools like Qiskit make it accessible today. Learning to code quantum neural networks helps you move beyond concepts into real experiments, positioning you early in a rapidly evolving field. QNNs represent and process information by leveraging superposition, entanglement, and high-dimensional Hilbert spaces in ways classical models simply cannot.

You'll learn from

Dr. Muhammad Faryad

Dr. Muhammad Faryad

IBM-Certified Quantum Developer, QML Scientist, Qiskit Advocate

Qiskit
Penn State College of Engineering
Abdus Salam International Centre for Theoretical Physics
See all products from Dr. Muhammad Faryad