Quantum Machine Learning Podcasts
A podcast project that makes Quantum Machine Learning concepts, research questions, and applications more accessible through concise audio episodes.
Quantum Machine Learning in audio form
I create podcast episodes about Quantum Machine Learning, with the aim of making the field easier to follow beyond specialist papers and technical presentations. The series discusses core concepts, current research questions, and examples of how quantum models can be applied to dynamic and real-world data.
The podcast complements my academic work by providing a more accessible format for explaining QML methods, their practical constraints, and the distinction between promising research directions and unsupported claims.