Dr. Mohsin Ilahi
Principal Investigator
Dr. Mohsin Ilahi is a quantum physicist and research leader specializing in Quantum Computing, Quantum Reservoir Computing, and Artificial Intelligence. With over five years of experience, he leads high-impact research at Chinar Quantum AI, integrating advanced quantum concepts with real-world AI applications.
He collaborates internationally across academia and industry, drives interdisciplinary innovation, and contributes to the advancement of Quantum AI through research, education, and strategic global partnerships.
Experience
Research LeadPresent
Chinar Quantum AI
- Leads research projects in Quantum AI, focusing on Quantum Reservoir Computing for time-series applications.
- Manages and mentors a multidisciplinary team advancing quantum computing and AI solutions.
- Drives global collaborations with institutions in Saudi Arabia, Germany, Turkiye, Finland, Hungary, and India.
- Oversees development of innovative quantum-AI frameworks for industry-grade applications.
Academic Program LeadPresent
Chinar Quantum AI
- Designs interdisciplinary curricula integrating physics, mathematics, AI, and quantum computing for students in grades 6-12.
- Creates educational frameworks that promote analytical reasoning, problem-solving, and scientific innovation.
- Leads teams delivering hands-on learning experiences in emerging technologies.
Global Collaboration & Innovation StrategistPresent
Chinar Quantum AI
- Leads global initiatives across multiple countries to drive technological transformation.
- Builds cross-border partnerships to expand research, training, and innovation capabilities.
- Develops interdisciplinary solutions addressing global challenges in AI and quantum research.
Education
Postdoctoral Fellow
King Abdulaziz University
Ph.D. in Quantum Sciences
Aligarh Muslim University (AMU)
Advanced PG Diploma in Nanotechnology
Aligarh Muslim University (AMU)
M.Sc. in Physics
Aligarh Muslim University (AMU)
B.Sc. (Hons) Physics
Aligarh Muslim University (AMU)
Projects
Quantum Reservoir Computing for Time-Series Data
Developing a cutting-edge QRC framework capable of addressing complex medical and real-world time-series problems where classical models struggle.
Schrieffer-Wolff Transformation on IBM Quantum Computers
Implemented quantum algorithms for the SWT and applied them to the Single Impurity Anderson Model to derive the Kondo Model.
Quantum Many-Body Physics Simulations
Worked on VQE-based deuteron ground-state simulations, quantum noise analysis, and excited-state computations using SSVQE.
Quarkonium Production & Suppression in QGP
Performed phenomenological quantum chromodynamics research focused on quarkonium behavior in quark-gluon plasma.