Dr. Rukhsan ul Haq
CEO, Chinar Quantum AI
Dr. Rukhsan Ul Haq is a deep-tech leader in Quantum Computing and AI with experience delivering impactful solutions for Fortune 500 companies at IBM Quantum. He specializes in turning advanced research into practical, scalable applications across finance, energy, healthcare, and automotive sectors.
As CEO of Chinar Quantum AI, he drives innovation in quantum-AI products and guides organizations in adopting next-generation technologies. His work enables companies to achieve measurable impact through cutting-edge computational advancements.
Experience
Chief Executive OfficerPresent
Chinar Quantum AI
- Leads company vision, research strategy, and operational execution in AI and quantum technology.
- Drives development of AI solutions including Quantum NLP and quantum ML products.
- Builds global partnerships, fundraising channels, and regional/international market expansion.
- Manages and mentors teams of researchers, developers, and data scientists.
- Provides global AI consulting to help organizations integrate AI into core operations.
Quantum Computation Scientist
IBM Quantum
- Conducted research on quantum algorithms, quantum AI, and quantum machine learning.
- Collaborated with global research teams across multiple continents.
- Published scientific research and represented IBM Quantum at global conferences.
Quantum Technology Lead
IBM Quantum
- Acted as strategic lead between quantum R&D and enterprise clients.
- Volkswagen: Built quantum simulation framework for EV battery material discovery.
- Wells Fargo: Developed quantum reservoir computing models for fraud detection & forecasting.
- BP: Created quantum AI diffusion models for molecular & material simulations.
- Led quantum training programs for Fortune 500 executives and technical teams.
Lead Data Scientist
Johnson & Johnson
- Architected a breakthrough time-series forecasting engine using dynamical systems.
- Improved predictive accuracy and decision-making across healthcare operations.
- Led AI-driven product development initiatives to enhance healthcare outcomes.
- Collaborated with R&D, clinical, and operations teams to implement data-driven solutions.
- Contributed to shaping the company's AI strategy and adoption roadmap.
Education
Ph.D. Theoretical Condensed Matter Physics
(JNCASR), India
M.Sc. Physics
University of Kashmir
Projects
Quantum Simulation for EV Battery Materials - Volkswagen
Developed quantum simulation framework for next-gen electric & magnetic material discovery to accelerate EV battery innovation.
Quantum Reservoir Computing for Financial Systems - Wells Fargo
Built quantum-powered time-series framework improving fraud detection and financial forecasting.
Quantum AI Diffusion Model for Molecular Simulation - BP
Developed advanced quantum AI models with applications in energy, molecular design, and drug discovery.
Dynamical Systems Forecasting Engine - Johnson & Johnson
Architected a high-accuracy forecasting engine that became a full-scale enterprise product delivering major operational impact.