aws-cqc/DeviceLayout.jl

KLayout Python library for integrated quantum circuit design.

Python framework for designing & analyzing superconducting quantum chips. Lite-by-default, headless-friendly, EDA-grade.

A validated design database and simulation workflow software for superconducting quantum hardware

From Qiskit Metal to pattern generation to real nanofabrication demo. Here, quantum devices on a chip are patterned via direct-write electron-beam lithography in a nanofabrication facility. Written & patterned by Onri Jay Benally, an Indigenous American quantum hardware engineer.

Powerful, automated analysis and design of quantum microwave chips & devices [Energy-Participation Ratio and more]

A Python library for designing chips (Photonics, Analog, Quantum, MEMS), PCBs, and 3D-printable objects. We aim to make hardware design accessible, intuitive, and fun—empowering everyone to build the future.

Extensible, Efficient Quantum Algorithm Design for Humans.

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.

MQT QMAP - A Tool for Quantum Circuit Mapping