Syllabus Application
EE 58006
Special Topics in EE: FPGA in Quantum Computing with Superconducting Qubits
Faculty
Faculty of Engineering and Natural Sciences
Semester
Spring 2025-2026
Course
EE 58006 -
Special Topics in EE: FPGA in Quantum Computing with Superconducting Qubits
Time/Place
Time
Week Day
Place
Date
08:40-11:30
Thu
FENS-L027
Feb 16-May 22, 2026
Level of course
Masters
Course Credits
SU Credit:3, ECTS:10
Prerequisites
-
Corequisites
-
Course Type
Lecture
Instructor(s) Information
Kadir Akın
- Email: kadir.akin@sabanciuniv.edu
Kadir Akin is an adjunct researcher at Sabanci University. He is an Electrical Engineer, Scientist and Lecturer at ETH Zurich and Paul Scherrer Institut, Switzerland.
Email: aakin@phys.ethz.ch
Course Information
Catalog Course Description
The course covers fundamentals of digital hardware design using FPGA with a focus on its utilization on quantum experiments as a control, signal acquisition and signal processing device. No prior knowledge in quantum physics or FPGA is required.
Course Learning Outcomes:
Course Objective
Primary educational objective is to learn the FPGA based signal processing for superconducting circuits-based quantum experiments. The course participants will learn the implementation techniques of the modules for fast quantum signal acquisition and processing, the electronics supporting quantum experiments, and FPGA programming. Students will implement quantum signal processing and quantum state detection modules using Xilinx FPGA, Verilog HDL, high speed ADC and DAC. The course utilizes project-based learning approach for encouraging students to engage in their learning process actively. Students will apply their theoretical knowledge in mathematics, signal processing and physics, while implementing advanced architectures using FPGA.
Sustainable Development Goals (SDGs) Related to This Course:
| Industry, Innovation and Infrastructure |
Course Materials
Resources:
Technology Requirements:
The course will be online (via Zoom). Three students will make a group. At least one of the students in the group would need 80 GB of disk space to download and install Vivado on their computers. It would be more practical for the students if everyone in the groups could install Vivado on their computers. We will provide the students with the FPGAs.