daquintero/piel

Photonic Integrated ELectronics. Microservices to codesign photonics, electronics, quantum, and more.

Photonic Integrated ELectronics

piel < 0.1 is still in active development. The API is starting to stabilize, but use it currently at your own risk.

Microservices to codesign photonics, electronics, communications, quantum, and more.

• Free software: MIT license
• Documentation: https://piel.readthedocs.io
• Slack Channel: Join #piel in open-source-silicon.dev

Target functionality

• Co-simulation and optimisation between integrated photonic and electronic chip design.
• System interconnection modelling in multiple domains.
• Experimental and simulation metadata/data management & integration.
• 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 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!