daugherty-engine / README.md
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Enhanced Space with Ising model, educational tabs, hardware comparisons
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metadata
title: Daugherty Engine
emoji: 🧮
colorFrom: green
colorTo: blue
sdk: gradio
sdk_version: 5.9.1
python_version: '3.10'
app_file: app.py
pinned: false
license: apache-2.0
short_description: GPU-accelerated SAT & Ising solver - quantum-competitive
tags:
  - optimization
  - sat-solver
  - ising-model
  - constraint-satisfaction
  - quantum-computing
  - gpu
  - nvidia

Daugherty Engine

GPU-accelerated constraint satisfaction and combinatorial optimization achieving quantum-competitive results on classical hardware.

What You Can Test

Problem Type Description Quantum Equivalent
3-SAT Boolean satisfiability at phase transition (α=4.27) Gate-based quantum computing
Ising Model Spin glass energy minimization Quantum annealing (D-Wave)

Key Results

  • 128x more power efficient than D-Wave Advantage
  • 8x cheaper per solve than quantum cloud services
  • Runs on a single NVIDIA RTX 6000 Ada ($1.57/hour)

How It Works

This Space provides API-only access to the Daugherty Engine. No proprietary algorithms or source code are exposed. You interact with the same verification endpoints available at 1millionspins.originneural.ai.

API Endpoints Used

  • POST /api/verify/sat - 3-SAT verification
  • POST /api/verify/ising - Ising model optimization
  • GET /api/health - System status

The Science

3-SAT at Phase Transition

At the clause-to-variable ratio α = 4.27:

  • Problems are maximally hard (neither clearly SAT nor UNSAT)
  • This is the "computational phase transition"
  • First proven NP-complete problem (Cook-Levin, 1971)

Ising Model

The Ising Hamiltonian: H(s) = -Σᵢⱼ Jᵢⱼ sᵢ sⱼ - Σᵢ hᵢ sᵢ

  • Native problem type for quantum annealers
  • Maps to QUBO (Quadratic Unconstrained Binary Optimization)
  • Applications: portfolio optimization, logistics, ML

Hardware

System Power Cost/Hour Qubits/Cores
Daugherty Engine 195W $1.57 18,176 CUDA
D-Wave Advantage 25kW $13.20 5,000 qubits
IBM Quantum 15kW $1.60 127 qubits

Links

Contact

Shawn@smartledger.solutions


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