量子糾錯研究員（Quantum Error Correcetion Researcher)

主要職責

1、針對超導量子處理器的真實噪聲模型，進行理論分析與仿真，研究適配硬件的量子糾錯編碼方案（如表面碼、LDPC碼等）。

2、設計與優化邏輯量子比特的邏輯操作協議，包括邏輯門、態制備、量測與讀出流程。

3、與軟件工程團隊協作，開發高效量子糾錯模擬器與解碼器，支援大規模系統的快速性能評估。

4、與實驗物理團隊緊密合作，參與糾錯實驗方案設計；分析實驗數據並基於結果迭代優化模型與協議。

5、設計並執行量子糾錯實驗，在超導量子處理器上實現及測試不同類型的邏輯比特與邏輯操作。

6、開發高精度校準方案與軟件工具，定量表徵退相干、交叉耦合、測量誤差等噪聲源對糾錯性能的影響。

7、參與下一代可擴展量子計算架構的設計與驗證，推動量子糾錯技術工程化落地。

任職要求（必須）

1、博士學位或同等研究能力：物理、計算機科學、量子信息/量子計算或相關方向。

2、具備量子糾錯或量子計算相關研究經驗（一般要求 3–5 年或以上；以成果為準）。

3、熟悉至少一類主流量子糾錯碼與基礎解碼概念（表面碼/色碼/LDPC 等）。

4、具備良好編程能力：Python 為主；具備 C++ 能力者優先。

5、能夠與跨職能團隊（軟件/實驗/系統）高效協作，具備清晰的技術表達與文檔能力。

加分條件（優先）

1、熟悉 MWPM、Union-Find、神經網絡/Transformer 解碼器、或實時解碼工程實現。

2、具備噪聲建模與數值模擬經驗：Markovian/非 Markovian、主方程或量子軌跡方法。

3、熟練使用至少一種量子計算/糾錯工具鏈：Qiskit、Cirq、Stim、TKET 等。

4、有高質量論文或會議發表（如 PRL、Nature 系列、QIP、APS March Meeting 等），或具備可驗證的開源/工程成果。

5、具備硬件約束下的 protocol 設計、實驗迭代與數據分析經驗。

 

申請方式

請提交：

個人履歷（含研究/工程項目、論文或代碼鏈接）

-（如有）代表作：論文、技術報告、GitHub、解碼/模擬成果或性能數據

Key Responsibilities

Develop hardware-aware QEC schemes using theoretical analysis and simulation, based on realistic noise models for superconducting qubit platforms (e.g., surface codes, LDPC codes).

Design and optimize logical-qubit operation protocols, including logical gates, state preparation, and measurement/readout procedures.

Collaborate with software engineers to build efficient QEC simulators and decoders for rapid performance evaluation at scale.

Work closely with experimental physicists: co-design QEC experiments, analyze experimental data, and iterate models/protocols based on outcomes.

Design and execute QEC experiments on superconducting processors to implement and benchmark logical qubits and logical operations.

Develop high-precision calibration methods and software tools to quantify the impact of noise sources (dephasing, crosstalk, readout errors, etc.) on QEC performance.

Contribute to the design and validation of next-generation scalable quantum computing architectures, driving QEC toward engineering deployment.

 

Required Qualifications

PhD (or equivalent research capability) in Physics, Computer Science, Quantum Information/Computing, or a closely related field.

Solid research experience in QEC or quantum computing (typically 3–5+ years; evaluated by outputs and impact).

Familiarity with at least one major QEC code family and fundamental decoding concepts (surface/color/LDPC, etc.).

Strong programming skills in Python; C++ is a plus.

Strong collaboration and communication skills across software/experimental/system teams, with good technical writing habits.

 

Preferred / Nice-to-have

Experience with MWPM, Union-Find, neural/Transformer-based decoders, and/or real-time decoding implementations
Noise modeling and numerical simulation experience (Markovian/non-Markovian), master-equation or quantum-trajectory methods.

Proficiency with at least one quantum software stack: Qiskit, Cirq, Stim, TKET, etc.

Publications in leading venues (e.g., PRL, Nature family, QIP, APS March Meeting), or strong open-source/engineering deliverables with measurable results.

Practical experience with protocol design under hardware constraints and experimental iteration/data analysis.

 

How to Apply

Please submit:

CV (including research/engineering projects, publications, and code links)

(Optional) selected work: papers, technical reports, GitHub repos, decoder/simulator benchmarks, or performance data