Utilizing an FPGA and a Neural Network for Real-Time Measurement and Feedback in Quantum Computing with Superconducting Qubits

SUNUM
Dr. Kadir Akın from Quantum Computing Hub, ETH Zurich/PSI, Switzerland will be the guest of the Nano Open Webinar, which will be held on Wednesday, 10 December 2025 at 11:00 on Zoom.

Dr. Akın will talk about the utilizing an FPGA and a neural network for real-time measurement and feedback in quantum computing with superconducting qubits.

In this talk, Kadir Akın will explain how high computational power and design flexibility features of Field Programmable Gate Arrays (FPGAs) are leveraged in superconducting circuits-based quantum experiments to utilize quantum setups efficiently. Dr. Akın will present FPGA-based systems that perform signal generation, advanced filters, histogram generation, neural network and quantum state identification. He will demonstrate the initialization results of qubits through a low-latency FPGA-based neural network. Additionally, he will discuss challenges in digital electronics for realizing quantum systems that involve a high number of qubits.

To register for the Nano Open Webinar which will be held on Zoom on Wednesday, 10 December 2025, at 11:00: https://app.smartsheet.com/b/form/f6d294cf4c61490bb29501a82e7be447
 

SUNUM

 

About Dr. Kadir Akın

Dr. Kadir Akin is an Electrical Engineer at the Quantum Computing Hub, a joint initiative of ETH Zurich and the Paul Scherrer Institute, and a lecturer in the Department of Information Technology and Electrical Engineering at ETH Zurich. At Quantum Computing Hub, he designs and implements FPGA-based signal and image processing systems for the control and measurement of quantum experiments with superconducting qubits, trapped ions and quantum gas. Dr. Akin received his PhD degree in Electrical Engineering from Ecole Polytechnique Fédérale de Lausanne (EPFL) in 2015 under the supervision of Prof. Yusuf Leblebici. At EPFL, he conducted research on hardware implementations of 360° multiple camera panoramic video generation and stereoscopic depth estimation algorithms, and their system level real-time realizations. He received his BSc and MSc degrees in Electronics Engineering from Sabanci University in 2008 and 2010, respectively. Dr. Akin has recently been affiliated as an adjunct researcher at Sabancı University.