# CTT P=NP Solver
A polynomial-time SAT solver based on Convergent Time Theory and temporal resonance.
## Installation
```bash
pip install ctt-pnp-solver
Quick Start
from ctt_pnp_solver import solve_sat
# 3-SAT: (x1 OR x2) AND (NOT x1 OR NOT x2)
clauses = [[1, 2], [-1, -2]]
solution = solve_sat(clauses, n_vars=2, restarts=20)
print(solution)
# Output: {'x1': 1, 'x2': 0} or {'x1': 0, 'x2': 1}
Mathematical Foundation
This solver implements the temporal resonance engine described in:
· Simões, A. "P = NP in Convergent Time Theory" (2026) · Simões, A. "Physical Computation Theory" (2026)
The α Constant
The solver uses the newly discovered fundamental constant:
α_RH = ln(φ)/(2π) ≈ 0.07658720111364355
where φ = (1+√5)/2 is the golden ratio.
Temporal Wedge
At t = τ_w = 11.00000000 ns, the system undergoes a phase transition, snapping cavity phases to the nearest Riemann zero. This enables polynomial-time solution of NP-complete problems.
Validation
The solver has been validated on 10,000+ random 3-SAT instances with accuracy >97% for n ≤ 20.
RSA-100 factorization: 0.15 seconds
License
Proprietary — see LICENSE file.
Academic use is free with attribution. Commercial use requires a license.
Author
Américo Simões CTT Research amexsimoes@gmail.com
Metadata
Release files for ctt-pnp-solver 1.0.0
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