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.

Inquire about team purchases