Research & Evaluation Environment研究與評估環境

QTQB Quantum LabQTQB 量子實驗室

A hands-on environment for exploring hybrid quantum-classical portfolio optimization, quantum machine learning primitives, and post-quantum cryptography—built for quants, security engineers, and technical decision makers.

面向量化、資安工程與技術決策者的實作環境，用於探索混合量子–古典投組優化、量子機器學習原語與後量子密碼學。

3D quantum phenomena3D 量子特性

Superposition · Entanglement · Uncertainty疊加 · 糾纏 · 不確定性

Measure a qubit and watch collapse. Prepare a Bell pair and see local Bloch vectors vanish until one shot correlates both. Pinch position space and watch momentum explode against ħ/2. 測量 qubit 看坍縮。製備 Bell 對，局域 Bloch 向量會消失，直到一次測量讓兩邊相關。壓縮位置空間，動量會對 ħ/2 爆炸。

QT-Flow Lab | Optimization & QML優化與 QML

PennyLane PyTorch Simulators QPU-ready

Run controlled experiments that compare classical optimizers with hybrid quantum-inspired formulations on equities and digital-asset universes.

在股票與數位資產宇宙上，對比古典優化器與混合量子啟發配方的可控實驗。

Mean-variance and constrained allocation baselines均值–方差與受約束配置基準
Variational / combinatorial encodings for portfolio weights投組權重的變分 / 組合編碼
Noise-aware simulation and circuit depth diagnostics雜訊感知模擬與線路深度診斷
Walk-forward evaluation with risk and turnover metrics含風險與換手指標的滾動評估
Exportable notebooks for internal research review可匯出筆記本供內部研究審閱

QB-Shield Lab | Post-Quantum Security後量子安全

NIST PQC ML-KEM ML-DSA Threat Scan

Demonstrate quantum-relevant cryptographic risk and evaluate migration patterns for wallets, signatures, and institutional key management.

展示與量子相關的密碼風險，並評估錢包、簽章與機構金鑰管理的遷移模式。

Post-quantum signature demonstration (lattice-based schemes)後量子簽章示範（格基方案）
Hybrid classical + PQC handshake patterns古典 + PQC 混合握手模式
Wallet quantum threat scanner (address / key surface heuristics)錢包量子威脅掃描（地址 / 金鑰表面啟發式）
Exposure scoring for long-lived public keys and reused addresses長生命週期公鑰與重用地址的曝險評分
Migration checklist aligned to crypto-agility best practices對齊加密敏捷最佳實踐的遷移清單

What the Lab is designed for實驗室設計目標

Technical evaluation技術評估

Measure whether hybrid quantum formulations improve risk-adjusted outcomes versus strong classical baselines—before committing production resources.在投入生產資源前，衡量混合量子配方是否優於強古典基準的風險調整結果。

Security education安全教育

Make Q-Day risk concrete for engineering and risk teams with interactive demos of signatures, key lifetimes, and harvest-now-decrypt-later scenarios.以互動示範呈現簽章、金鑰壽命與「先收集後解密」情境，讓工程與風險團隊具體理解 Q-Day 風險。

Pilot scoping試點定界

Use lab outputs as evidence packs for investment committees and security boards when defining QT-Flow or QB-Shield pilot scope.將實驗室輸出作為投委會與資安委員會的證據包，用以定義 QT-Flow 或 QB-Shield 試點範圍。

Experiment pipeline實驗管線

Configure universe & constraints設定宇宙與約束 Select assets, risk limits, rebalance cadence, and cryptographic surfaces under review. 選擇資產、風險限制、再平衡頻率，以及待審的密碼表面。
Run classical baseline執行古典基準 Establish transparent classical performance and security baselines for fair comparison. 建立透明的古典績效與安全基準，以便公平比較。
Hybrid quantum / PQC track混合量子 / PQC 軌跡 Execute QT-Flow optimizers or QB-Shield demos on simulator (and optionally hardware backends). 在模擬器（與可選硬體後端）上執行 QT-Flow 優化器或 QB-Shield 示範。
Compare & report比較與報告 Generate deltas, uncertainty notes, and recommended next engineering steps. 產出差異、不確定性說明與建議後續工程步驟。

Backend options後端選項

Simulation first模擬優先

Default path for rapid iteration: high-fidelity circuit simulation, classical optimizers, and deterministic PQC demos. Ideal for research sprints and workshops.

快速迭代的預設路徑：高保真線路模擬、古典優化器與確定性 PQC 示範。適合研究衝刺與工作坊。

Hardware-connected硬體連線

Optional jobs on IBM Quantum, IonQ, Rigetti, or AWS Braket for noise characterization and hardware-validated experiments under governed access.

可選 IBM Quantum、IonQ、Rigetti 或 AWS Braket 任務，用於雜訊特徵化與受治理存取下的硬體驗證實驗。

PennyLane Qiskit PyTorch Streamlit IBM Quantum AWS Braket NIST PQC

Request Lab access申請實驗室存取

The public interactive demo is being redeployed. Request access and we will schedule a guided session tailored to your portfolio, custody, or security stack.

公開互動示範正在重新部署。申請存取後，我們將依你的投組、託管或安全棧安排引導式體驗。

Get Lab Access申請實驗室存取

When the Hugging Face deployment is live, the demo URL will be linked from this page.Hugging Face 部署上線後，示範網址將連結於此頁。