Dr. Faryad

Dr. Faryad

660 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

Professor Faryad is present, helpful and highly positive. I was unable to attend every session this cohort but through the recordings I was still able to learn quickly. I am leaving feeling fully capable of writing code for quantum circuits as well as utilizing quantum simulators.
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Ethan

Cohort 3
Graduate Student · N/A
Amazing class with hands on and in depth explanations of topics.

Tracy

Cohort 3
Solution Advisor · Omnicell
I found this training extremely helpful and well structured. What I particularly appreciated is that it is accessible even to people with no background in quantum physics, making the concepts of Quantum Machine Learning and Qiskit 2.x much easier to understand and apply.

Khadija

Cohort 3
Doctor in quantum physics · University Mohammed V, Faculty of sciences of Rabat
The course is an easy to undrstand and exciting opportunity for anyone looking to jump into the opportunity to do some hands on quantum machine learning.
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Azeem

Cohort 3
Senior AI/ML Engineer · Punjab Information Technology Board
Dr. Muhammad Faryad is an excellent instructor with deep expertise in Quantum Machine Learning and Qiskit 2.x. The course is well organized and covers both the theoretical foundations and practical implementation using Jupyter notebooks and hands-on coding exercises. I especially appreciated how complex quantum computing concepts were explained in a clear and accessible way. The live sessions were interactive, and Dr. Faryad was patient in answering questions and guiding students through the projects. This course significantly improved my understanding of quantum machine learning, variational quantum circuits, quantum kernels, and Qiskit 2.x. I highly recommend this course to anyone interested in learning Quantum Machine Learning from a knowledgeable and supportive instructor.
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Junaid Khan

Cohort 3
Researcher · Quaid-i-Azam University, Islamabad