Hi, my name’s Cenk Tüysüz (/ˈdʒɛŋk tu:jsu:z/), and I’m a Ph.D. candidate in quantum computing. I love working on multidisciplinary projects, and in fact, this is what brought me to quantum computing. I enjoy working with people from all around the world and am always looking for new collaboration opportunities to broaden my horizons. Below is a non-exhaustive list of my current research interests. Feel free to reach out via your favorite platform.

• Quantum machine learning (QML); trainability and expressive capacity of QML models, barren plateaus, warm starting.
• Generative learning with QML
• Geometric machine learning; representation theory, category theory
• Understanding hardware noise to maximize utility of current hardware
• Physics simulations with Quantum Computing
• High Energy Physics applications of Quantum Computing

You can find more details about me on my website 👉 cnktysz.github.io