Yiğit Çakan

• Integrated an RFSoC FPGA-based signal acquisition chain for averaged measurements and state discrimination into the internal experiment control software used for superconducting qubit experiments.
• Verified the measurement workflow using test signals and by conducting various experiments on a superconducting qubit.
• Benchmarked the new setup against established legacy systems, driving stability investigations and proposing architectural improvements.

With an interdisciplinary team, built a hybrid machine learning model based on Quantum Reservoir Computing to forecast air quality, addressing UN Sustainable Development Goal 3. Alongside the implementation we developed a business strategy and market approach for scaling quantum-driven solutions.

Overall Finalists and Second Place, Challenge 2 — Air Quality Forecasting. Organised by QAI Ventures, supported by QuantumBasel and IQM Quantum Computers.

Designed an optical communication protocol between two microcontrollers using laser pulse sequencing and photodiode reception for real-time signal encoding and decoding.

Designed Verilog modules for pulse sequencing, readout timing and control primitives to prototype components of a superconducting qubit control stack.

Built a distance detection system using an iCEBreaker FPGA and an ultrasonic sensor, with real-time distance classification and audio feedback.