Photonic Integrated Electronics: microservices to codesign photonics, electronics, communications, quantum, and more.
Project description
Photonic Integrated ELectronics
Microservices to codesign photonics, electronics, communications, quantum, and more.
- Free software: MIT license
- Documentation: https://piel.readthedocs.io
- Slack Channel: Join
#pielin open-source-silicon.dev
Target functionality
- Co-simulation and optimisation between integrated photonic and electronic chip design.
- System interconnection modelling in multiple domains.
- Chip and interposer design integration.
- Co-design components to circuits flow.
- Maintain a multi-tool dependency design environment.
piel aims to provide an integrated workflow to co-design photonics and
electronics, classically and quantum. It does not aim to replace the
individual functionality of each design tool, but rather provide a glue
to easily connect them all together and extract the system performance.
Examples
Follow the many examples in the documentation.
Microservices Toolset
This package provides interconnection functions to easily co-design microelectronics through the functionality of the major python-integrated microelectronics projects and photonics via the GDSFactory project.
Some existing microservice dependency integrations are:
- amaranth - A modern hardware definition language and toolchain based on Python.
- cocotb - a coroutine based cosimulation library for writing VHDL and Verilog testbenches in Python.
- hdl21 - Analog Hardware Description Library in Python
- GDSFactory - An open source platform for end to-end photonic chip design and validation
- OpenLane v1 - an automated RTL to GDSII flow based on several components including OpenROAD, Yosys, Magic, Netgen and custom methodology scripts for design exploration and optimization
- Openlane v2 - The next generation of OpenLane, rewritten from scratch in Python with a modular architecture
- sax - S-parameter based frequency domain circuit simulations and optimizations using JAX.
- thewalrus -A library for the calculation of hafnians, Hermite polynomials and Gaussian boson sampling.
- qutip - QuTiP: Quantum Toolbox in Python
piel also provides a common dependency-resolved environment for all these tools, so that you just get started with designing rather than manage dependencies (which is a massive pain). Full flow environment toolsets can use nix, docker, and local installations following the existing open-source design flows.
Contribution
If you feel dedicated enough to become a project maintainer, or just want to do a single contribution, let's do this together!
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