FlamingPy
FlamingPy is a Python library with multiple backends for efficient simulation of error correction in fault-tolerant photonic quantum architectures, including GKP-encoded qubit cluster states. Archived.
Work with this as data
Every API here is available over the APIs.io API and to AI agents over MCP.
MCP server
One button, every client — Claude, Cursor, VS Code and the rest.
https://apis.io/mcp
Tools for apis
7 MCP tools reach this
find_apisBrowse and filter every API in the catalog.get_api_artifactsOne API's artifacts, grouped by type.get_openapiThe primary OpenAPI for this API.find_similar_apisAPIs that look like this one.apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.resolveTurn a domain, URL or GitHub org into the provider it belongs to.find_cohortsEvery scored population of providers in the catalog.
Call it yourself
curl for this page
This API
curl "https://apis.io/api/v1/apis/flamingpy"
All apis
curl "https://apis.io/api/v1/apis?limit=25"Discovery needs no key. Ratings and market analysis are Pro.
Get an API key
Free tier, no form to fill in. Signing in shares your email address with us — we store it to create your key and to recognise you if you sign in with another provider. See our Privacy Policy and Terms.
A second provider on the same verified email joins the account you already have.
API entry from apis.yml
aid: xanadu-ai:flamingpy
name: FlamingPy
tags:
- Error Correction
- Fault Tolerance
- GKP
- Archived
humanURL: https://flamingpy.readthedocs.io
properties:
- type: Documentation
url: https://flamingpy.readthedocs.io/en/latest/
- type: GitHubRepository
url: https://github.com/XanaduAI/flamingpy
description: FlamingPy is a Python library with multiple backends for efficient simulation of error correction
in fault-tolerant photonic quantum architectures, including GKP-encoded qubit cluster states. Archived.