Q-transmon-xmon/EDA-Q

EDA-Q is a full-stack electronic design automation (EDA) tool for quantum chip design, supporting both superconducting and trapped-ion quantum computing architectures. The platform enables researchers and engineers to efficiently design, simulate, and optimize quantum chips.

What it solves

EDA-Q is designed to address the complexity and lack of automation in quantum chip design. Traditional methods often struggle with physical constraints and layout optimizations, especially for large-scale quantum chips, which EDA-Q aims to simplify through an integrated, automated platform.

How it works

The tool provides a full-process automation workflow for quantum chip design, supporting multiple qubit technologies including superconducting, ion trap, and photonic quantum chips. It integrates several core design stages:

  • Topology Design: Planning the arrangement of qubits.
  • Equivalent Circuit Computation: Calculating the electrical properties of the design.
  • GDS Layout and Routing: Generating the physical layout files (GDS) and routing connections.
  • Simulation and Verification: Testing the design before fabrication.

Who it’s for

Researchers and engineers working in the quantum computing hardware field who need to efficiently design and optimize qubit chips.

Highlights

  • Multi-platform support: Simultaneously supports superconducting, ion trap, and photonic quantum chip designs.
  • Full-process automation: Covers the entire workflow from topology to simulation.
  • AI Assistant: Includes an integrated AI assistant to aid the design process.
  • PDK Framework: Features a reusable Process Design Kit (PDK) framework for foundry-process packaging and versioning.

Related

  • Project
    daobataotie/CAD-MCP

    CAD-MCP is a Model Context Protocol server that connects AI assistants like Claude or Cursor to CAD software (AutoCAD, GstarCAD, ZWCAD). It exposes 35 tools for drawing, editing, querying, and managing layers and blocks, so users can create and modify drawings by typing plain-language commands instead of using the CAD interface manually.

  • Project
    whaleyxbt/claude-motion

    A motion design toolkit that gives AI coding agents the design taste, self-review capabilities, and a sound engine needed to create professional motion graphics and simulations.

  • Project
    zju3dv/Diffuman4D

    Diffuman4D is a spatio-temporal diffusion model for high-fidelity 4D consistent human view synthesis, enabling free-viewpoint rendering from sparse-view videos.

  • Project
    naver/roma

    A lightweight PyTorch library for differentiable 3D rotation manipulation, providing mappings between rotation representations and utilities for rotation regression.