v0.1.0 – first public release (Rust core + Python bindings)

Overview

This is the first public release of MetatronQSO – an embeddable quantum computing engine with:

• a Rust core library (metatron-qso-rs on crates.io)
• Python bindings (metatron_qso on PyPI)
• a graph/geometry–first design for quantum walks, VQE / QAOA-style algorithms and related experiments

The goal is not to be “yet another Qiskit wrapper”, but an embeddable quantum engine you can plug into your own Rust or Python systems and shape with your own operators, backends and control logic.

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Features in v0.1.0

• Rust core (metatron-qso-rs)

  • Quantum state representation and basic operators
  • Circuit construction for variational algorithms (VQE / QAOA-like)
  • Support for graph-based quantum walks on a non-trivial default geometry
  • Example binaries for demos and benchmarks

• Python bindings (metatron_qso)

  • PyO3-based bindings exposing the same core concepts to Python
  • Installable via pip install metatron_qso
  • Suitable for use in Jupyter / scientific Python workflows

• Backend abstraction

  • Trait-based backend layer (local simulator now, room for hardware providers later)
  • Basic telemetry / metrics exposed via small helper crates

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Installation

Rust

cargo add metatron-qso-rs