Quantum Error Correction Scientist

1 - 5 years

12 - 22 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role & Responsibilities

  • Architect fully fault-tolerant, scalable quantum processors

    by crafting blueprints and error-correction strategies for next-generation devices, including patentable IP.
  • Design, simulate and benchmark

    surface, LDPC and bosonic codes

    on noise-biased hardware; iterate solutions with cryo-control and fabrication teams.
  • Build numerical tool-chains in Python/QuTiP/Qiskit to

    model error propagation, mitigation and gate-fidelity limits

    , delivering data-driven design insights.
  • Prototype

    dynamical-decoupling and error-mitigation schemes

    that extend coherence and enable bias-preserving logical gates.
  • Publish peer-reviewed papers, file patents and author internal DoE reports that steer roadmap and funding decisions.
  • Champion rigorous peer reviews, mentor junior researchers and foster cross-functional knowledge-sharing.

Skills & Qualifications

Must-Have

  • PhD/MS in Physics, Mathematics, Computer Science or allied field with a quantum focus.
  • 3 + years designing

    quantum error-correction codes

    (surface, LDPC) and fault-tolerant architectures.
  • Proficiency in

    Python, MATLAB and quantum-software stacks

    for large-scale simulations and data analysis.
  • Hands-on experience with

    dynamical decoupling/error-mitigation

    techniques on experimental platforms.
  • Strong record of peer-reviewed publications and successful research projects.
  • Excellent problem-solving, communication and collaborative skills.

Preferred

  • Familiarity with

    noise-biased bosonic codes and autonomous error-correction

    methods.
  • Experience writing DoE and experimental-improvement reports to guide hardware trials.
  • Background in cryogenic control electronics, RF instrumentation or superconducting-qubit fabrication.
  • Proven patent filings or open-source contributions in quantum technology.
  • Exposure to GPU-accelerated simulators or distributed-computing workflows for quantum modelling.
  • Engagement with industry consortia or standards bodies advancing quantum-error-correction research

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