Dr. Faryad will help you build real quantum ML systems
Muhammad Faryad is an experienced Maven instructor and Quantum Machine Learning Scientist. He is an IBM-certified Qiskit 2.x developer, a Tier 2 IBM Qiskit Advocate, an IBM QAMP Mentor, and a QWorld Instructor. His research focuses on quantum machine learning, quantum algorithm design, and the analysis of noise resilience in near-term quantum systems. He has published several research articles on quantum information, quantum algorithms, and quantum machine learning.
He earned his PhD from The Pennsylvania State University, USA, in 2012, where he received the Best Dissertation Award. He was honored with the Galleino Denardo Award from the International Centre for Theoretical Physics (ICTP), Italy, in 2019.
Courses
Multi-day, guided programs to get real results
Workshops
Single-day, hands-on sprints to practice new skills
Lightning Lessons
Free, interactive sessions to explore new topics
Resources
Five Jupyter Notebooks showing classical data encoding is the permanent bottleneck of Quantum ML
Five notebooks on getting classical data into a quantum computer — and what it costs
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Self-Paced Quantum Portfolio Optimization in Qiskit 2.x
2.5 hours of video lectures, slides, and four Qiskit Notebooks
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