genpark-quantum-grover-search-oracle-amplifier-skill
OfficialClick on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@genpark-quantum-grover-search-oracle-amplifier-skillrun a 3-qubit Grover search for target state 101 and show the results"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
genpark-quantum-grover-search-oracle-amplifier-skill
⚡ Overview & Architectural Significance
genpark-quantum-grover-search-oracle-amplifier-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.
Related MCP server: genpark-quantum-qubit-state-vector-simulator-skill
🏗️ Architectural Topology & State Machine
flowchart TD
InitialRegister["Qubit Register |0...0>"] --> GateLayer["Unitary Gate Operations (H, Pauli, Phase)"]
GateLayer --> EntanglementGate["Two-Qubit Entangling CNOT Gate"]
EntanglementGate --> GroverOracle["Phase Inversion & Grover Diffusion"]
GroverOracle --> ProjectiveMeasurement["Born's Rule Collapse & Shot Sampler"]
ProjectiveMeasurement --> QuantumTelemetry["Classical Quantum Bitstring Telemetry"]🚀 Quickstart & Standalone Execution
Local Python Client Usage
from client import GroverSearchSimulator
# Initialize engine
engine = GroverSearchSimulator()
# Execute self-testing benchmark suite
result = engine.benchmark_grover_search()
print("Execution Result:", result)🔌 One-Click MCP Integration (Claude Desktop / Cursor)
Add to your claude_desktop_config.json or cursor.json:
{
"mcpServers": {
"genpark-quantum-grover-search-oracle-amplifier-skill": {
"command": "python",
"args": ["-u", "/path/to/genpark-quantum-grover-search-oracle-amplifier-skill/mcp_server.py"]
}
}
}📦 Smithery.ai & PyPI Deployment
This skill contains pre-configured smithery.yaml and pyproject.toml manifests. Install directly via pip:
pip install git+https://github.com/alphaparkinc/genpark-quantum-grover-search-oracle-amplifier-skill.gitThis server cannot be deployed
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