# Example 01 — Quantum Computing

> **AI Detection Result (Final Output):** `human` (confidence: **0.9997**)

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## Original Input (English)

Quantum computing has been proposed as a paradigm shift for solving certain optimization and simulation tasks. Unlike classical bits, qubits can represent superpositions, enabling parallel computation in specific problem structures. Although real-world advantage remains limited by hardware instability and error rates, research in quantum algorithms continues to expand. For industries such as logistics, chemistry, and cryptography, quantum readiness is becoming a strategic conversation. Companies can start by training technical teams and identifying quantum-friendly problem classes. Even before full-scale deployment, a quantum roadmap can act as a signal of innovation leadership and future resilience in computational competitiveness.

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## Step 1 — DeepSeek 中文改写 (Chinese Humanization Rewrite)

> Engine: DeepSeek (temperature 1.3) · Direction: Input → Chinese

量子计算正被看作一种颠覆性的新思路，能用来解决某些优化与模拟难题。与经典比特不同，量子比特可以处于叠加态，从而在特定问题结构中实现并行计算。尽管目前硬件不稳定和误差率仍限制着实际应用优势，但量子算法的研究版图正在不断拓宽。对于物流、化学、密码学等行业来说，“量子准备度”正在成为战略层面的议题。企业可以从培训技术团队、识别适合量子计算的问题类型开始布局。即便距离全面落地尚早，制定一份量子技术路线图，本身就能传递出创新引领的信号，并为未来计算竞争力的持久发展奠定基础。

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## Step 2 — DeepSeek 日语改写 (Japanese Humanization Rewrite)

> Engine: DeepSeek (temperature 1.3) · Direction: Chinese → Japanese
> Carries Step 1 as conversation history for context-aware rewriting

量子コンピューティングは、特定の最適化問題やシミュレーション問題を解くための革新的なアプローチとして注目されています。従来のビットとは異なり、量子ビットは重ね合わせ状態をとることができ、特定の問題構造における並列計算を可能にします。ハードウェアの不安定性とエラー率により、現時点では実用化は制限されていますが、量子アルゴリズムの研究領域は着実に拡大しています。物流、化学、暗号といった業界では、「量子対応」が戦略的な課題となりつつあります。企業は、技術チームを育成し、量子コンピューティングに適した問題タイプを特定することから、戦略計画の策定を開始できます。本格的な導入にはまだ遠い道のりですが、量子技術ロードマップを策定すること自体が、イノベーションにおけるリーダーシップを示すものであり、将来のコンピューティング競争力の持続的な発展の基盤を築くものとなります。

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## Step 3 — 一轮翻译 (First Translation Hop)

> Engine: Google Translate · Direction: Japanese → Finnish

Kvanttilaskenta on herättänyt paljon huomiota innovatiivisena menetelmänä tiettyjen optimointi- ja simulointiongelmien ratkaisemiseksi. Toisin kuin perinteiset bittit, kubitit voivat ottaa superpositiotilan, mikä mahdollistaa rinnakkaisen laskennan tietyissä ongelmarakenteissa. Laitteiston epävakauden ja virheasteen vuoksi kvanttialgoritmien käytännön soveltaminen on tällä hetkellä rajoitettu, mutta kvanttialgoritmien tutkimusala laajenee tasaisesti. Alalla, kuten logistiikka, kemia ja kryptografia, "kvanttivasteesta" on tulossa strateginen haaste. Yritykset voivat aloittaa kehittämällä strategisia suunnitelmia kehittämällä teknisiä tiimiä ja tunnistamalla kvanttilaskentaan sopivia ongelmatyyppejä. Vaikka viralliseen käyttöönottoon on vielä pitkä matka, kvanttiteknologian etenemissuunnitelman kehittäminen itsessään on johtava asema innovaatioissa ja luo perustan tietojenkäsittelyn kilpailukyvyn kestävälle kehitykselle tulevaisuudessa.

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## Step 4 — 二轮翻译 (Second Translation Hop, Final Output)

> Engine: Niutrans · Direction: Finnish → English

Quantum computing has attracted much attention as an innovative method for solving certain optimization and simulation problems. Unlike traditional bits, qubits can assume a superposition state, which enables parallel computing in certain problem structures. Due to the instability and error rate of the hardware, the practical application of quantum algorithms is currently limited, but the research field of quantum algorithms is steadily expanding. In fields such as logistics, chemistry and cryptography, "quantum response" is becoming a strategic challenge. Companies can start by developing strategic plans, developing technical teams and identifying problem types suitable for quantum computing. Although there is still a long way to go before it is officially implemented, the development of a roadmap for quantum technology is itself a leading role in innovation and lays the foundation for the sustainable development of computing competitiveness in the future.

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## Why This Worked

The 4-step chain compounds humanization signals:

1. **Steps 1–2 (DeepSeek rewrites):** Break AI statistical fingerprints with creative variation at temperature 1.3. Conversation history keeps coherence across steps.
2. **Step 3 (Google JA→FI):** Finnish is linguistically distant from English/Japanese — forces deep structural reshuffling.
3. **Step 4 (Niutrans FI→EN):** Cross-engine final hop ensures no single-engine fingerprint survives.

Detection verdict: **human** at 99.97% confidence.
