Add cognitive-discovery-system (pure-Python quantum simulation)

[Furox88]

Entry

• Use case: Quantum Computing
• Line added:

\\markdown

• cognitive-discovery-system - A pure-Python, zero-dependency scientific platform whose readable, from-scratch quantum simulator covers single/multi-qubit circuits, Bell/GHZ states and entanglement detection.
  \\

Why it fits this use case

The existing four entries (qiskit, qutip, pennylane, cirq) are all heavyweight SDKs aimed at running circuits on real hardware. cognitive-discovery-system occupies a genuinely different niche in the same use case: a from-scratch, pure-Python, zero-runtime-dependency quantum simulator (single & multi-qubit gates, Bell/GHZ states, entanglement detection, O(1) probabilistic sampling) designed for teaching and readable source — the source is the documentation.

Quality requirements checklist

• Serves Python developers — \pip install cognitive-discovery-system, importable \cds.quantum\ API + CLI
• Active — commits within the last 12 months (latest: today)
• Stable — v1.6.0 on PyPI, Production/Stable classifier
• Documented — README with examples, MkDocs site, 25+ runnable demos, cookbook
• Established — repository > 1 month old (first release 2026-06)
• Slot availability — Quantum Computing currently lists 4 of the 5-entry cap
• Tests/quality — 1,680 tests, 100% statement+branch coverage gate, mypy strict

[vinta]

Thanks for the detailed rationale. The niche argument is the right shape, but the numbers are not: 1,826 downloads/month and 1 GitHub star, against qiskit, qutip, pennylane and cirq. A pedagogical from-scratch simulator is a fine thing to build. But awesome-python is a shortlist of the tools an experienced Python developer would name for a job (see Admission in CONTRIBUTING.md), and Quantum Computing already carries 4 of them.