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Core quaternion, spinor, SU(2), and Bloch mathematics for the RQM Python ecosystem

Project description

RQM Core

Core quaternion, spinor, SU(2), and Bloch mathematics for the RQM Python ecosystem.

PyPI version Python versions License: MIT Documentation Website


🌐 RQM Platform

This repository is part of the RQM Technologies ecosystem.

→ Website: https://rqmtechnologies.com
→ Documentation: https://docs.rqmtechnologies.com


Install

pip install rqm-core

rqm-core is the mathematical foundation layer. It has no RQM-level dependencies — only numpy at runtime.


Where This Fits

rqm-core  →  rqm-compiler  →  rqm-qiskit / rqm-braket

rqm-core provides the canonical mathematical layer of the RQM ecosystem, including quaternion, spinor, Bloch, and SU(2) foundations. Higher-level packages (rqm-compiler, rqm-qiskit, rqm-braket) build on top of it.


Next Steps


Why This Package Exists

Higher-level RQM libraries (simulators, compilers, hardware adapters) all require a common, reliable layer of linear algebra and quantum geometry. rqm-core is that layer.

It provides a single, versioned source of truth for the mathematical primitives shared across the whole ecosystem: no duplication, no conflicting conventions, and no framework lock-in.


Design Principles

Principle What it means in practice
Tiny Only implement primitives that are needed by ≥2 packages
Stable Slow to change; breaking changes require a major version bump
Dependency-light Only numpy at runtime
Canonical One correct convention, clearly documented, used everywhere
Well-tested Strong test coverage from the first commit

What Is Included

  • Quaternion primitives – Hamilton product, conjugate, inverse, axis-angle construction, SO(3) and SU(2) conversions
  • Spinor helpers – normalization, norm, fidelity, spinor↔quaternion/SU(2) mappings
  • SU(2) conversions – construction from quaternions and axis-angle, validation, round-trips
  • Bloch sphere mappings – state↔Bloch, Bloch↔state, quaternion rotation to Bloch vector
  • Matrix helpers – trace, determinant, conjugate transpose (dagger), norm, closeness checks
  • Validation utilities – axis, complex pair, matrix shape, real number, tolerance checks

Mathematical Conventions

The full reference lives in CONVENTIONS.md. The five items every downstream package needs to know:

1 · SU(2) Convention

A unit quaternion q = w + xi + yj + zk maps to SU(2) as:

U(q) = [[ w − iz ,  −y − ix ],
         [ y − ix ,   w + iz ]]

Implemented in Quaternion.to_su2_matrix(); inverted by su2_to_quaternion().

2 · Spinor Convention

States are written |ψ⟩ = α|0⟩ + β|1⟩ with |0⟩ as the north-pole computational-basis ground state. Amplitudes are always passed as the ordered pair (alpha, beta). Functions that require unit norm normalize internally.

3 · Bloch Sphere Parameterization

|ψ⟩ = cos(θ/2)|0⟩ + e^{iφ} sin(θ/2)|1⟩

theta[0, π] (polar/colatitude), phi[0, 2π) (azimuthal). |0⟩ → north pole (0, 0, +1); |1⟩ → south pole (0, 0, −1).

4 · Global Phase

q and −q represent the same rotation. spinor_to_quaternion encodes the rotation up to global phase — never rely on the sign of the scalar part.

5 · Default Tolerance and Axis Labels

All closeness checks default to atol = 1e-9 (absolute, no relative component). Axis labels are "x", "y", "z" (case-insensitive); all angles are in radians.


What Is Intentionally Not Included

  • Qiskit / PennyLane / Cirq adapters
  • Backend execution or hardware drivers
  • Circuit transpilation or compilation
  • Plotting or visualisation
  • Cloud workflow integration
  • Notebook tooling
  • Algorithm frameworks or optimisation workflows

Those belong in higher-level packages.


Installation

pip install rqm-core

Development install (includes pytest and pytest-cov):

pip install "rqm-core[dev]"

Ecosystem Role

rqm-core is the spine of the RQM Python ecosystem. It provides the single canonical implementation of all shared mathematical primitives so that downstream packages never need to re-implement or copy them.

How downstream packages declare the dependency (example pyproject.toml excerpt):

[project]
dependencies = [
    "rqm-core>=0.1.0",
]

How downstream packages import:

# rqm-qiskit, rqm-circuits, rqm-compiler, etc.
from rqm_core import Quaternion, axis_angle_to_su2, state_to_bloch

Contract for downstream maintainers:

  • All conventions are defined in CONVENTIONS.md and must not be re-defined or overridden locally.
  • Breaking changes to rqm-core require a major version bump (1.0.0, …).
  • Any primitive needed by two or more packages belongs here, not in the individual packages.

Quickstart

from rqm_core import Quaternion, state_to_bloch, axis_angle_to_su2
import math

# 90° rotation around Y
q = Quaternion.from_axis_angle("y", math.pi / 2)
print(q)
# Quaternion(0.7071..., 0.0, 0.7071..., 0.0)

# SU(2) matrix directly from axis-angle
print(axis_angle_to_su2("y", math.pi / 2))

# |+⟩ state on the Bloch sphere → equator at (1, 0, 0)
c = 1 / math.sqrt(2)
x, y, z = state_to_bloch(c, c)
print(x, y, z)  # 1.0  0.0  0.0

Package Structure

rqm-core/
  CONVENTIONS.md            – canonical mathematical conventions reference
  pyproject.toml            – package metadata and build config
  src/rqm_core/
    __init__.py      – canonical public API (import everything from here)
    py.typed         – PEP 561 marker (enables type checking in downstream packages)
    quaternion.py    – Quaternion class (Hamilton algebra, SO(3)/SU(2) conversions)
    spinor.py        – spinor normalization, fidelity, spinor↔quaternion/SU(2)
    su2.py           – SU(2) construction, validation, quaternion round-trips
    bloch.py         – Bloch sphere mappings and validation
    linalg.py        – matrix helpers (dagger, trace, determinant, closeness)
    validation.py    – shared validation helpers (axis, matrix shape, tolerances)
    types.py         – shared type aliases (ComplexVector2, BlochVector, SU2Matrix, …)
    utils.py         – small math utilities (angle_wrap, safe_norm, is_finite_*)

  tests/
    test_quaternion.py
    test_spinor.py
    test_su2.py
    test_bloch.py
    test_linalg.py
    test_utils.py
    test_validation.py
    test_public_api.py

  examples/
    quaternion_basics.py    – quaternion construction, composition, conversion
    spinor_basics.py        – spinor normalization, Bloch mapping, fidelity
    su2_bloch_demo.py       – axis-angle → SU(2) → Bloch pipeline
    bloch_mapping_demo.py   – canonical Bloch vectors and round-trip checks
    su2_rotation_demo.py    – SU(2) construction and quaternion round-trip

Testing

# Install the package in editable mode with test dependencies
pip install -e ".[dev]"

# Run the full test suite
pytest

# Run with coverage report
pytest --cov=rqm_core --cov-report=term-missing

# Run a single test file
pytest tests/test_quaternion.py -v

# Run only the public-API contract tests
pytest tests/test_public_api.py -v

Architectural Notes

  • su2.is_unitary is a thin domain-scoped shim over linalg.is_unitary. Both exist intentionally: linalg.is_unitary is the general-purpose helper; su2.is_unitary is the public entry point for SU(2)-context callers and is what rqm_core.is_unitary resolves to in the top-level API.

  • q and −q represent the same rotation. Round-trip conversions q → SU(2) → q are tested against both q and −q. Downstream code must never compare quaternion scalar parts for sign equality.

  • The src/ layout means rqm_core is only importable after installation (pip install -e .). Running tests directly without installing first will produce ModuleNotFoundError.

  • py.typed is included in the installed wheel (via [tool.setuptools.package-data]), enabling mypy and pyright in any package that depends on rqm-core.


Roadmap

rqm-core is intended to remain small and stable while higher-level packages evolve around it.

Planned additions for future minor versions:

  • Quaternion SLERP (spherical linear interpolation)
  • SO(3) rotation-matrix ↔ quaternion round-trip helpers
  • Mixed-state density matrix utilities
  • SU(2) Lie-algebra generators and exponential map
  • Type stub files (.pyi) for IDE completions

No Qiskit or framework dependencies will ever be added to this package.

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