Skip to main content

The QNN library for creating gds files

Project description

QNNGDS

Description

QNNGDS is a toolbox built on top of phidl for device design in the QNN group.

The package is built so that any person wanting to create a new design can do it easily and quickly. It offers various devices, circuits, and test structures used and designed in the QNN group. The package hierarchy is thought as follows:

Hierarchy

  • Design: contains classes from which a complete design can be built. The class inputs are the basic parameters of the chip. Its methods are pre-built cells and tools for distributing and managing the cells over the chip.

    • Cells: is a library of cells pre-built, that are called by the Design's classes. Each cell contains a text, border marks and an experiment (circuits, devices, or tests) connected to pads for external connection.

      • Circuits: is a library of circuits made of devices.

        • Devices: is a library of basic devices like nTron, hTron, nanowires, resistors etc...
      • Tests: is a library of test structures that help through the fabrication process and characterization.

      • Geometries: contains useful shapes/geometries that are not available in Phidl or has been adapted from it for special use cases.

      • Utilities: contains useful tools for building cells and circuits.

Below is an example of the modules used to build a design.

Example Hierarchy

Getting Started

Installing

  • Make sure gdspy is installed
  • Install qnngds package with 'pip install qnngds'

Dependencies

License

This project is licensed under the MIT License - see the LICENSE.txt file for details

Documentation

How to contribute

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

qnngds-3.2.1.tar.gz (33.7 kB view details)

Uploaded Source

Built Distribution

qnngds-3.2.1-py3-none-any.whl (36.6 kB view details)

Uploaded Python 3

File details

Details for the file qnngds-3.2.1.tar.gz.

File metadata

  • Download URL: qnngds-3.2.1.tar.gz
  • Upload date:
  • Size: 33.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for qnngds-3.2.1.tar.gz
Algorithm Hash digest
SHA256 990ee1cc468630f6736cf37e6c499a342c953bc08531357e7101285873bfb7a3
MD5 188a0ef1eb7c8d880c8f7491cbb5fc76
BLAKE2b-256 4b7e932501bf2c7c3565abbca7716c948a09db8884664b2590f04c64bd171432

See more details on using hashes here.

File details

Details for the file qnngds-3.2.1-py3-none-any.whl.

File metadata

  • Download URL: qnngds-3.2.1-py3-none-any.whl
  • Upload date:
  • Size: 36.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for qnngds-3.2.1-py3-none-any.whl
Algorithm Hash digest
SHA256 fb60e821c3098c35c531b2ee1410374a804971f6353969a79f29d60913fcd234
MD5 18c96af28024b57a799c4ba87b712051
BLAKE2b-256 0b667701de07f094a07ec5bd5a22f01ae82d8d4b27329ed77501bffdf4a5e37c

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page