Dr. Faryad

Dr. Faryad

618 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

Alumni reviews

Great course! The instructor really knows the subject and explains it clearly. He's also very patient answering questions and clearing up doubts. Highly recommended

Hugo Alberto

Cohort 2
Risk Manager · SOMPO
It was really easy to follow, and course didn't require any formal training in Quantum information or Machine learning

Mehran

Cohort 2
PhD Student · Queen's University
This is one of the best courses in the field of Quantum Machine Learning. I rate it as the finest course I have taken during my 20 years of academic career. Dr. Muhammad Faryad has designed the course exceptionally well, making it accessible and valuable for students from diverse academic backgrounds. ‎ ‎The coding component is particularly outstanding. It significantly enhanced my programming skills while providing deeper insight into the underlying concepts and phenomena of quantum machine learning. I highly recommend this course to anyone interested in gaining both theoretical understanding and practical experience in this rapidly evolving field. I would like to thank Dr Faryad for providing such an exciting opportunity.
Reviewer profile image

ARSHAD

Cohort 2
Associate Professor · Quaid-I-Azam University
This was a very informative cohort that lowered the barrier between my existing ML knowledge and the QML realm, it assisted me significantly in understanding the quantum language where now I can tackle problems in either classical or quantum mechanical fashion. Highly recommended for anyone aiming to stay at the frontier of AI (not just LLMs).

Marwan

Cohort 2
Software Engineer · Innovate for Consulting and Technology
This class has been helpful for my research and the guidance given was most needed when it comes to improving my current research. Many thanks Dr. Faryad!

Karina

Cohort 2
QC coordinator · AmerisciNY