OpenQPU

Open Infrastructure & OpenQPU Code Repositories

Welcome to the digital developer hub for Industrial Explainable AI and the Safety Logic Unit (SLU) hardware ecosystem.

This portal bridges the theoretical foundations, mathematical formalisms (J-space manifolds), and hardware architectures established in the book with living, open-source codebases, hardware description language (HDL) modules, and manufacturing specifications.

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🚀 Repository Roadmap & Release Schedule

Our open-source initiatives are hosted on GitHub under the Quantum Intelligence Association umbrella. Repositories are rolling out across three primary phases:

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📦 Featured Open-Source Projects

1. `SLU-Core-RTL`

> **Status:** *Initial Architecture Specs Live | Code Release Q4 2026*

The reference Register-Transfer Level (RTL) implementation of the hardware Safety Logic Unit. Designed for deployment on FPGAs and custom ASIC interlocks.

* Key Features:

  * Sub-microsecond state-vector hardware checks.

  * Deterministic $J$-space barrier enforcement.

  * Direct SPI/PCIe interface adapters for classical host processors.

* **Tech Stack:** SystemVerilog, Chisel, CocoTB testbenches.

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2. `MCP-Interlock-SDK`

> **Status:** *In Active Development*

A reference implementation of the Model Context Protocol (MCP) integrated directly with hardware interlock drivers. Enables LLM agents and autonomous tool pipelines to query hardware safety boundaries before executing tool calls.

* Key Features:

  * Real-time safety validation for agentic tool use.

  * Low-latency JSON-RPC over Unix domain sockets or PCIe.

  * Formal verification hooks for state transitions.

* Tech Stack: Rust, Python, TypeScript.

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3. `OpenQPU-Sim`

> **Status:** *Early Preview*

A specialized software simulator for modeling Electric Field Gradient (EFG) quadrupolar control of nuclear spin qubits in diamond at room temperature (300 K).

* Key Features:

  * Pulse-level simulation of nuclear quadrupolar resonance (I=1, e.g., ¹⁴N ).

  * Decoherence and strain-gradient noise modeling.

  * Gate fidelity estimation for multi-qubit quadrupolar coupling.

* Tech Stack: Python, C++, Julia.

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🛠️ How to Contribute & Stay Updated

Whether you are a silicon engineer, an AI safety researcher, or a quantum technologist, we welcome community collaboration.

1. Star & Watch the Repositories: Follow our developments directly on GitHub: `https://www.github.com/qiassoc` (Link active upon public repository rollout).

2. Access Web Whitepapers: Explore deep-dive architectural articles, 3D heterogeneous packaging schematics, and fab yield models here on (https://www.qiassoc.org/projects/openqpu).

3. Submit Issues & RFCs: Join the ongoing discussions on Request for Comments (RFC) documents covering the MCP interlock specifications and OpenQPU hardware standards.