Workshop titled “A Hands-on Introduction to Quantum Machine Learning (QML)” by Dr. Hakan DOĞA
A workshop titled “A Hands-on Introduction to Quantum Machine Learning (QML)” will be delivered by Dr. Hakan DOĞA on March 2, 2026. In his talk, Dr. DOĞA will review the fundamental principles of quantum machine learning and outline the current directions in which the field is evolving. He will discuss kernel-based QML methods, highlighting both their potential and their limitations, and will introduce alternative approaches. The final 15–20 minutes of the session will feature a brief demonstration of Quantum Kernel Training (QKT) using a simple dataset.
Dr. Hakan DOĞA is a mathematician specializing in quantum algorithm development at the intersection of mathematics, quantum computing, and biomedical research. His work includes protein structure prediction, quantum molecular simulation, clinical trial optimization, and tensor-based quantum methods for biomedical data analysis. He has collaborated with the Cleveland Clinic and participated in international initiatives such as DARPA Quantum Benchmarking, the NIH Quantum Challenge, and Wellcome Leap Q4Bio. Originally trained as a low-dimensional topologist and geometer, he also develops quantum algorithms for computing topological invariants, including the Jones polynomial and Betti numbers.
The event is organized by Prof. Dr. Orkide COŞKUNER WEBER and Dr. Semih ALPSOY. Participants from outside the university are kindly requested to send an email to weber@tau.edu.tr or alpsoy@tau.edu.tr. The workshop will take place at 10:30 AM in the Faculty Building, Room C101.
