Projective quantum measurement engine sampling qubit collapses via Born's rule with Monte Carlo shot histograms.
genpark-quantum-measurement-born-rule-sampler-skill
Production-Grade Quantum Computing Simulation Agent Skill • 100% Standard Library Python • Native Model Context Protocol (MCP)
genpark-quantum-measurement-born-rule-sampler-skill delivers zero-dependency quantum circuit simulation, qubit state vector evolution, Born-rule measurement, and Grover amplitude amplification engineered strictly using Python 3.9+ standard library.
🌟 Key Architectural Capabilities - Zero External Dependencies: Operates exclusively via pure Python (math, cmath, random, json). Zero Qiskit/Cirq C++ compilation overhead. - Enterprise Quantum Invariants: Implements formal complex state vectors, unitary Hadamard and CNOT entanglement gates, Born rule projective measurement sampling, EPR Bell state generation, and Grover diffusion operators. - Native Anthropic MCP Protocol: Compliant with standard JSON-RPC 2.0 stdio MCP specifications for Claude Desktop, Cursor, and Windsurf.
🏗️ Architectural Topology & State Machine
🔌 One-Click MCP Integration (Claude Desktop / Cursor)
Add to your claudedesktopconfig.json or cursor.json:
This skill contains pre-configured smithery.yaml and pyproject.toml manifests. Install directly via pip:
Maintained with ❤️ by GenPark AI Engineering • Advancing Quantum AI Agent Intelligence 🌍
From the project README.
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Projective quantum measurement engine sampling qubit collapses via Born's rule with Monte Carlo shot histograms.
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