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Open nowPosted 123 days ago

博士后-量子计算智能体方向

c0fu1j3a9m0/referral33 open roles

Where
Shanghai, Chinese Mainland
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Your applicationOpen now博士后-量子计算智能体方向c0fu1j3a9m0/referral · Shanghai, Chinese Mainland

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. c0fu1j3a9m0/referral postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 123 days ago

c0fu1j3a9m0/referral median: 1 days open

The posting

-依托星河启智AI4S（AI for Science）分布式计算与数据基础设施，设计并实现量子计算智能体的统一接入框架，打通经典算力（GPU/CPU）与量子后端（模拟器、真实量子芯片）的资源调度链路。参与平台底层算子库、任务编排引擎及混合计算中间件的改造，确保量子智能体在科学计算工作流中的低延迟、高弹性部署。 - 研发基于强化学习、元学习和生成式模型的量子电路参数优化智能体，支持变分量子算法（VQE、QAOA）、量子态制备和量子误差缓解等场景的自适应策略生成。 - 围绕智能体能力，设计开放API、SDK及可视化交互套件，降低领域科学家（化学、材料、物理）的使用门槛，支持一键式量子算法试点与结果解释。 - 跟踪量子机器学习和AI4S领域最新进展，将脉冲级控制、量子编译等技术融入智能体能力，推动平台在真实量子硬件上的实际落地效果。

  • 计算机科学、物理、数学或相关方向博士，3年以上量子计算、机器学习或高性能计算领域研发经验。
  • 精通Python/C++，熟悉PyTorch/JAX等深度学习框架，有TensorFlow Quantum、PennyLane、Qiskit或Cirq等量子编程框架实际开发经验
  • 深入理解变分量子算法、量子态层析、误差抑制/缓解理论，有实际量子硬件（超导、离子阱或光量子）上运行经验者优先。
  • 熟悉分布式系统、容器化（Kubernetes）及微服务架构，有云计算平台（如华为云、阿里云、AWS）AI/HPDA开发经验者加分。
  • 具备优秀的技术文档编写与跨团队沟通能力，能独立主导技术子模块从原型到产品化全流程，有开源项目维护或社区运营经验者优先。
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