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Dr. Faryad

Dr. Faryad

1.1K Subscribers

Quantum Machine Learning Scientist, IBM-certified Qiskit developer

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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.

Previously at
Abdus Salam International Centre for Theoretical Physics
Penn State College of Engineering
Qiskit
LUMS

Lightning Lessons

Free, interactive sessions to explore new topics

Alumni reviews

Carlos A

Live cohort
Data Engineer | Future Quantum Developer · KentryOps Data

Optimize Your Stock Portfolio on a Real Quantum Computer

I really enjoyed this workshop. The explanations were clear and well-structured, and I especially appreciated how the theoretical concepts were connected to a practical, real-world use case. This made QAOA easier to understand and demonstrated how quantum optimisation can be applied in practice.

Emin

Live cohort
Great session

PRAJJWAL

Live cohort
Quantum Engineer · Accelequant India Pvt Ltd

Optimize Your Stock Portfolio on a Real Quantum Computer

It was a highly simplified and good introduction to QAOA

Dr. Shaheen

Live cohort
Assistant Professor · The University of Lahore

Optimize Your Stock Portfolio on a Real Quantum Computer

It was a very interesting and informative course.

MARCIO

Live cohort
Technical Project Manager · Genesis Consulting

Optimize Your Stock Portfolio on a Real Quantum Computer

I would like to express my appreciation for the Quantum Portfolio Optimization event. The session was highly practical and delivered the theoretical foundations necessary to understand and apply quantum optimization techniques effectively. The balance between conceptual depth and hands‑on exploration made the experience particularly valuable.