genpark-pauli-algebra-stabilizer-measurement-skill
mcp
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Pauli group algebra matrices with tensor products, commutation relations, and stabilizer projection
README.md
Pauli Algebra & Commutator Skill
High-efficiency, zero-dependency Python implementation of Pauli Group Algebra and Commutation Operator Relations.
Features
- Pauli Basis Representation: Full support for (\sigma_0, \sigma_x, \sigma_y, \sigma_z) matrix representations.
- Commutator Algebra: Evaluates Lie bracket ([A, B] = AB - BA) ensuring foundational quantum algebra compliance ([\sigma_j, \sigma_k] = 2i\epsilon_{jkl}\sigma_l).
- Zero External Dependencies: Pure Python standard library.
- Native MCP Protocol: JSON-RPC 2.0 stdio server compatible with Claude Desktop, Cursor, and Windsurf.
Architecture
graph TD
OpA["Pauli Matrix A"] & OpB["Pauli Matrix B"] --> AB["Compute Matrix Product AB"]
OpA & OpB --> BA["Compute Matrix Product BA"]
AB & BA --> Sub["Subtract: AB - BA"]
Sub --> Commutator["Lie Bracket Commutator [A, B]"]
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