Co-designed architectures for modular superconducting quantum computers
Superconducting quantum computing has rapidly progressed, enabling systems with larger numbers of qubits and more complex capabilities. Yet, translating quantum algorithms into efficient, hardware-executable instructions remains a significant challenge due to inherent physical constraints and noise in quantum devices. In this talk, I will discuss hardware-software co-design for superconducting quantum architectures, emphasizing how aligning with the natural capabilities of device physics can enhance performance. We delve into how the decomposition of quantum algorithms into hardware-level operations is influenced by architectural features such as qubit connectivity, gate implementations, and frequency crowding. By bridging the gap between algorithm design and hardware execution, our collaborative efforts reveal strategies to improve computational efficiency. This approach not only enhances current systems but also paves the way for developing more scalable and practical quantum computing devices.
Livestream the event on Zoom (Yale login required)