Offline Guest Lecture with Fyodor Amanov on Quantum Machine Learning & Quantum Simulations 🔬
We’re excited to host an offline guest lecture with Fyodor Amanov, Research Assistant at Sejong University and a Quantum 100 Honoree of the International Year of Quantum Science and Technology (IYQ 2025).
Fyodor’s work focuses on applying quantum information science to real‑world challenges in machine learning, optimization, and cryptography. He actively explores how emerging quantum technologies can reshape computation and AI.
A passionate science communicator and TEDx speaker, Fyodor shares practical insights from quantum computing, AI, sustainability, and international research experiences.
In this session, he will introduce:
• Core ideas behind quantum machine learning
• How quantum simulations help model complex systems
• Learning paths and tools for students interested in quantum technologies
🎓 Organized as part of the MUBL Bootcamp
Teglar: