Company: Quantum Alpha Technology Co., Ltd.Author: Jahua Chang Release Date: July 19, 2026Status: Public Proof of Concept Release
This is a compact, low-resource universal optimizer for NP-hard combinatorial and engineering optimization problems using a single core architecture.
Key design principles:
- Feasibility-first: All solutions guarantee
true_conflicts = 0 - Deterministic & Verifiable: 100% reproducible with cryptographic signatures
- Three optimization modes: Minimization, Maximization, and Balance
- Hardware-friendly: Designed for future logic circuit and ASIC implementation
The entire engine naturally evolved to approximately 10,000 lines during development, making it easy to maintain, optimize, and adapt.
- Steiner Tree Benchmark (SteinLib B & C sets): 38/38 instances solved with
true_conflicts = 0- 4 instances achieved optimal solution (0% gap)
- Specifically: B03 (25 terminals), B08 (19 terminals), B09 (38 terminals), and B18 (50 terminals) all hit the official optimal solutions in the international standard test
- Strong performance on high terminal density instances (e.g. C05 +2.4%, C10 +3.5%)
- Multi-mode Architecture: Single core supports Minimization, Maximization, and Balance modes
- Problem Coverage: 46+ diverse optimization tasks
- Resource Efficiency: Single-core, low power consumption, <6GB memory
- Verifiability: Every solution includes SHA-256 + Ed25519 digital signature
- Reproducibility: 100% deterministic with fixed Seed=42
All solutions are feasible within their respective problem models (true_conflicts = 0).
-
Minimum Requirements:
- CPU: Intel i5 12th Gen or equivalent (single-core sufficient)
- Memory: <6GB RAM
- Storage: ~10GB free space
- GPU: Not required
-
Tested Performance:
- Single-core execution
- Low power consumption design
- CPU utilization: 10%–30%
- Memory usage: typically 1.5–4.0GB, maximum <6GB
The engine runs efficiently on standard consumer laptops.
The engine currently supports 46 problem types across multiple domains:
Tasks with established full verification pipeline:
- Steiner Tree (international benchmark, 38/38 completed)
- Bin Packing (theoretical lower bound verifiable)
- EDA Routing (large-scale graph simulation)
- Graph Coloring
Other Supported Domains:
- Combinatorial Optimization (TSP, Knapsack, Job Shop, Cutting Stock, VRP, QAP)
- Network & Routing (Network Topology, Supply Chain, Smart Grid)
- Engineering Applications (Robot Kinematics, Thermal Dissipation)
- Emerging Fields (Zero-Knowledge Proof Circuit, Post-Quantum Crypto, etc.)
New tasks can be extended through the modular architecture (requires corresponding problem structure design).
- Compact Codebase: Approximately 10,000 lines — easy to maintain and optimize
- Low Power Consumption: Efficient single-core design suitable for edge devices
- Absolute Reproducibility: 100% deterministic execution (fixed Seed=42)
- Cryptographic Verifiability: SHA-256 + Ed25519 signatures for every result
- Three-Mode Generality: Handles minimization, maximization, and balance within one core
- Feasibility Guarantee: All outputs satisfy
true_conflicts = 0
All results are cryptographically signed and independently verifiable:
- SHA-256 content integrity
- Ed25519 digital signature (public key provided)
- One-click GUI verifier included
See VERIFICATION_GUIDE.md for complete instructions.
**Quantum Alpha Technology Co., Ltd.**Technical Contact: Jahua ChangEmail: jahua@quantum-alpha.tech
License: Evaluation and research use only. Core algorithm protected as trade secret.Repository: [GitHub link will be added upon release]
公司：量子阿爾法科技有限公司 (Quantum Alpha Technology Co., Ltd.)作者：張家華 (Jahua Chang)發布日期：2026年7月19日狀態：公開 POC 發布版本
這是一個精簡、低資源的通用優化引擎，專注解決 NP-hard 組合優化與工程問題，使用單一核心架構。
核心設計原則：
- 可行性優先：所有解皆保證
true_conflicts = 0 - 確定性與可驗證：100% 可重現，並具備密碼學簽章
- 三種優化模式：望小、望大、平衡
- 硬體友善：從設計之初即考慮邏輯電路與 ASIC 實作
整個引擎在開發過程中自然形成約 10,000 行 的規模，便於維護、優化與後續開發。
- Steiner Tree 國際標準測試（SteinLib B & C 組）：38/38 實例全部求解完成，且
true_conflicts = 0- 4 個實例達到最優解（0% 差距）
- 具體為：B03（25 個 terminals）、B08（19T）、B09（38T）、B18（50T）均在國際標準測試中命中官方最優解
- 高終端密度實例表現突出（C05 +2.4%、C10 +3.5%）
- 三模式架構：單一核心同時支援望小、望大、平衡模式
- 問題涵蓋：46 種以上不同類型的優化任務
- 資源效率：單核、低功耗、<6GB 記憶體
- 可驗證性：每個解皆包含 SHA-256 + Ed25519 數位簽章
- 可重現性：固定 Seed=42 即可 100% 重現
所有解在其各自問題模型中皆為可行解（true_conflicts = 0）。
-
最低需求：
- CPU：Intel i5 第12代或同級（單核即可）
- 記憶體：<6GB RAM
- 儲存空間：約 10GB
- GPU：無需
-
測試表現：
- 單核執行
- 低功耗設計
- CPU 使用率：10%–30%
- 記憶體使用：通常 1.5–4.0GB，最高 <6GB
引擎可在一般消費級筆電上高效運行。
目前已支援 46 種問題類型，涵蓋多個領域：
已建立完整驗證流程的任務：
- Steiner Tree（國際 benchmark，38/38 完成）
- Bin Packing（理論下界可驗證）
- EDA Routing（大規模圖論模擬）
- Graph Coloring
其他支援領域：
- 組合優化（TSP、Knapsack、Job Shop、Cutting Stock、VRP、QAP）
- 網路與路由（Network Topology、Supply Chain、Smart Grid）
- 工程應用（Robot Kinematics、Thermal Dissipation）
- 新興領域（Zero-Knowledge Proof Circuit、Post-Quantum Crypto 等）
新任務可透過模組化架構進行擴展（需對應問題結構設計）。
- 精簡程式碼：約 10,000 行，便於維護與優化
- 低功耗設計：單核高效運行，適合邊緣裝置
- 絕對可再現性：固定 Seed=42，100% 確定性
- 密碼學可驗證：每個結果皆有 SHA-256 + Ed25519 簽章
- 三模式通用性：單一核心同時支援望大、望小、平衡
- 可行性保證：所有輸出皆保證
true_conflicts = 0
所有結果皆經過密碼學簽章，可獨立驗證：
- SHA-256 內容完整性
- Ed25519 數位簽章（公開金鑰已提供）
- 內建一鍵 GUI 驗證工具
詳細說明請參考 VERIFICATION_GUIDE.md。
量子阿爾法科技有限公司技術聯絡人：張家華（Jahua Chang）Email: jahua@quantum-alpha.tech
授權方式：評估與研究用途。核心演算法為商業機密。儲存庫：發布後將提供 GitHub 連結
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