QMSI Seminar:  Dr. Hossein Jooya, MathWorks

“Quantum Machine Learning with MATLAB” 

This talk explores practical approaches to quantum machine learning using MATLAB, with an emphasis on integration with quantum hardware platforms such as Amazon Braket and IBM Quantum Processor Units (QPUs). Topics include the fundamentals of quantum computing, criteria for selecting between classical (CPU, GPU) and quantum (QPU) processors, and methods for translating classical algorithms into quantum circuits. The presentation also addresses techniques for encoding numerical and image data onto QPUs, quantum optimization, and the implementation of quantum neural networks. Applications and challenges relevant to contemporary machine learning will be discussed throughout.

Speakers

• Dr. Hossein Jooya

  Head of Chemistry
  MathWorks

  Dr. Jooya is the Head of Chemistry at MathWorks, leading strategic and technical initiatives at the
  intersection of AI, drug discovery, and materials design. Dr Jooya has deep expertise in theoretical
  and computational chemistry, artificial intelligence, and molecular discovery. Currently serving as
  Head of Chemistry at MathWorks. Before MathWorks, Dr. Jooya did postdoctoral research at
  ITAMP–Harvard University and a Ph.D. from The University of Kansas. Dr. Jooya has built a career
  developing cutting-edge computational methods and translating them into practical solutions
  across academia and industry. Their work integrates cheminformatics, molecular modeling,
  quantum computing, and deep learning architectures to accelerate molecular property prediction,
  structure–activity relationship modeling, and next-generation simulation pipelines.