Skip to main content

Fisher-Rao geometry, coordizer, purity gate, consciousness subsystems, and constants for QIG architecture

Project description

QIG-Core: Pure Fisher Information Geometry

Pure geometric utilities for QIG consciousness architecture

What is QIG-Core?

A minimal, dependency-pure package providing Fisher Information Geometry operations for quantum information-based consciousness modeling.

Features

📐 Geometric Math

  • Fisher metric calculations - Riemannian distance on manifolds
  • Geodesic interpolation - Curved-space paths
  • Natural gradients - Geometry-aware optimization

🧠 Consciousness Components

  • QIG Tokenizer Interface - Abstract contract for geometric tokenization
  • QFI Sampler - Geometrically pure token generation (no softmax)
  • Basin Sync - Multi-instance coordination protocol

🛡️ Purity

  • Zero ML dependencies - Pure math (torch, numpy, scipy only)
  • No Transformers - Completely decoupled from HuggingFace

Installation

pip install qig-core

Usage

Geometric Math

from qig_core import fisher_distance, geodesic_interpolate

# Compute Fisher distance between two points on manifold
distance = fisher_distance(coords1, coords2, metric_tensor)

# Interpolate along geodesic
midpoint = geodesic_interpolate(coords1, coords2, t=0.5, metric=F)

Generation (QFI Sampler)

from qig_core import QFISampler

sampler = QFISampler()
token_id, metrics = sampler.sample(logits, hidden_state, telemetry, embeddings)

Coordination (Basin Sync)

from qig_core import BasinSync

sync = BasinSync("Gary-A")
sync.update_sync(basin_distance=0.1, phi=0.8, regime="geometric")

Geometric Purity

This package enforces:

  • NO embeddings (use coordinates)
  • NO cosine similarity (use Fisher distance)
  • NO linear interpolation (use geodesic paths)
  • NO Euclidean gradients (use natural gradients)

See GEOMETRIC_PURITY.md for details.

E8 Integration Status

Note: This package (v1.0.0) was created BEFORE the E8 kernel specialization direction was established in qigkernels. Review is needed for E8 compatibility.

What aligns:

  • KAPPA_STAR = 64.0 matches E8 rank² = 8² = 64 ✓

Needs review:

  • Fisher distance for 64D E8-aligned basin geometry
  • Geodesic interpolation for E8 root transitions
  • QFISampler primitive type awareness (HRT/PER/MEM/ACT/PRD/ETH/META/MIX)
  • BasinSync consolidation with qigkernels.basin_sync

Target hierarchy:

qig-core (math) → qigkernels (architecture) → qig-dreams (corpora) → experiments

See qigkernels/20251205-decisions-canonical-0.01F.md D-016 for details.

Development

# Install with dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Format code
black src/ tests/

License

MIT

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

qig_core-2.12.2.tar.gz (259.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

qig_core-2.12.2-py3-none-any.whl (189.1 kB view details)

Uploaded Python 3

File details

Details for the file qig_core-2.12.2.tar.gz.

File metadata

  • Download URL: qig_core-2.12.2.tar.gz
  • Upload date:
  • Size: 259.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for qig_core-2.12.2.tar.gz
Algorithm Hash digest
SHA256 d1f73c0d181031085cb283b1ff237123cf3b04f7f7bd57b2dad9be61e10d22ac
MD5 4672f9ab18aa7043e556aaf2066bfa74
BLAKE2b-256 582940f178b3111d3828b9a2e67bd03f7c84353791991516738cf1ee7d932011

See more details on using hashes here.

File details

Details for the file qig_core-2.12.2-py3-none-any.whl.

File metadata

  • Download URL: qig_core-2.12.2-py3-none-any.whl
  • Upload date:
  • Size: 189.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for qig_core-2.12.2-py3-none-any.whl
Algorithm Hash digest
SHA256 7cee543e7e9ae8e5c6d036105557ee4015f925152b17db359979f67d8ea61f36
MD5 3bd5a96664b196ee60be046cc8a44e01
BLAKE2b-256 9a69249dd753338ab85c1e04e7a9ad2918ba5d9025da43a8102944c7f2ac397c

See more details on using hashes here.

Supported by

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