Togan Tlimakhoff Yusuf

Experienced with applying engineering principles to challenging problems, leading to impactful solutions. Utilizes research skills and technical knowledge to enhance operational efficiency—track record of effective team collaboration and project completion.

• Presenter , Canadian Graduate Quantum Conference, 01/24/23 - 01/26/23, University of Waterloo
• Presenter , Conference on Quantum Technologies for HEP, 11/01/22 - 11/04/22, CERN openlab
• CERN Webfest : Self-supervised learning for wearable sensors data classification, Build Act.App - an AI-powered app for Healthcare, 21/08/2022 - 22/08/2022, CERN
• Presenter , IEEE Quantum Week, QAA-4: Quantum Algorithms & Applications 4, 17/06/21 - 22/06/21, IEEE
• QHack 2021: The Quantum Machine Learning Hackathon, runner–up and winner of the grand CERN internship, 21/02/21, Xanadu

• Tunable coupler for universal control of a superconducting cavity through high-fidelity conditional displacements; APS March Meeting (Presenter) - Session: MAR-B17
• On-chip bosonic quantum error correction with a parametrically coupled heavy fluxonium control qubit; APS March Meeting - Session: MAR-J17
• Stabilization and logical operation of GKP qubits in a fully 2D architecture; APS March Meeting - Session: MAR-J17
• Tunable Xmon design, fabrication, and characterization: Build Your Own Superconducting Quantum Device Workshop, CMC Microsystems, 2023-2024
• Modified Layerwise Learning for Data Re-uploading Classifier in HEP Event Classification; IEEE - DOI: 10.1109/QCE52317.2021.00024
• Quantum GANs for Higgs boson ttH process Data Generation; CERN openlab - DOI: 10.5281/zenodo.5577410
• An Efficient Optimization Method: Natural Gradient Descent; Ankara University Department of Electrical and Electronics Engineering