In the exciting world of quantum computing, researchers are striving to harness the immense power of quantum mechanics to solve complex problems more efficiently than classical computers. Quantum circuits based on superconducting devices have emerged as the leading contender in this race, showing great promise in achieving practical quantum advantage. However, achieving practical quantum advantage requires large-scale, fault-tolerant quantum computing systems that can precisely control and read many qubits at ultra-low temperatures.
This thesis addresses this challenge by improving the connection between classical and quantum components in superconducting quantum processors. To bridge the gap between classical and quantum systems, the thesis introduces two major contributions. First, it develops an equivalent circuit model to simulate superconducting qubits alongside classical control electronics. This enables a detailed analysis of how non-idealities impact the quantum processor, supporting its design and scalability. Second, the thesis explores the integration of complementary metal-oxide-semiconductor (CMOS) technology for control electronics in close proximity to qubits. It introduces a low-power RF multiplexer operating at ultra-low temperatures, which minimizes the detrimental effects of electronic and thermal noise on qubits. This breakthrough enables precise control and measurement of multiple qubits and holds the potential to significantly simplify the wiring required for large-scale quantum processors.
In summary, this research contributes to the practical development of scalable superconducting quantum computing systems, advancing the field of quantum information processing.
1/12/2023 10:00 - 12:00
ESAT Aula L
