EDA-Q: Electronic Design Automation for Superconducting Quantum Chip

TL;DR

EDA-Q is a comprehensive, scalable EDA tool tailored for quantum chip design that improves automation, reduces design cycles, and integrates critical fabrication processes, addressing limitations of existing quantum EDA solutions.

Contribution

The paper introduces EDA-Q, a full-stack, flexible EDA tool specifically designed for quantum chip design, filling gaps left by existing partial solutions.

Findings

Reduces chip design cycles significantly

Enhances automation in quantum chip design

Validated through multiple practical tests

Abstract

Electronic Design Automation (EDA) plays a crucial role in classical chip design and significantly influences the development of quantum chip design. However, traditional EDA tools cannot be directly applied to quantum chip design due to vast differences compared to the classical realm. Several EDA products tailored for quantum chip design currently exist, yet they only cover partial stages of the quantum chip design process instead of offering a fully comprehensive solution. Additionally, they often encounter issues such as limited automation, steep learning curves, challenges in integrating with actual fabrication processes, and difficulties in expanding functionality. To address these issues, we developed a full-stack EDA tool specifically for quantum chip design, called EDA-Q. The design workflow incorporates functionalities present in existing quantum EDA tools while supplementing critical design stages such as device mapping and fabrication process mapping, which users expect. EDA-Q utilizes a unique architecture to achieve exceptional scalability and flexibility. The integrated design mode guarantees algorithm compatibility with different chip components, while employing a specialized interactive processing mode to offer users a straightforward and adaptable command interface. Application examples demonstrate that EDA-Q significantly reduces chip design cycles, enhances automation levels, and decreases the time required for manual intervention. Multiple rounds of testing on the designed chip have validated the effectiveness of EDA-Q in practical applications.