Quantum Error Correction Scientist - Flexible Work & Impact

Universal Quantum Ltd.

Haywards Heath

Hybrid

GBP 90,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Competitive salary
Equity participation
Flexible holiday allowance
Flexible working
10% pension match
Parental support policy
Health / dental insurance & life cover
£2,000 annual development budget
Relocation support

Job summary

Universal Quantum Ltd. in the United Kingdom seeks a quantum scientist to develop and simulate quantum error correction protocols, tailoring them to hardware and characterising qubit noise.

You will design experiments and estimate resources for large-scale applications, guiding hardware and software control to optimise error correction now and in the future. The role requires a PhD (or equivalent) and 5+ years of relevant experience, with strong publication records and communication skills.

Qualifications

  • PhD or equivalent experience.
  • 5+ years (degree-inclusive) experience involving quantum error correction development and research.
  • Excellent written and oral communication skills, with published research results.
  • Strong organisational skills and experience working and negotiating with customers and partners.

Responsibilities

  • Simulate and design experiments to characterise error correction protocols.
  • Tailor quantum error correction protocols to hardware strengths.
  • Design experiments to characterise noise profiles of physical qubits.
  • Perform resource estimation for large-scale applications via error correction.
  • Advise on hardware choices and software control to optimise performance.

Skills

Quantum error correction
Simulation modelling
Benchmarking procedures
Error mitigation
Python

Education

PhD or equivalent

Tools

Qiskit
Stim

Job description

Universal Quantum Ltd. in the United Kingdom seeks a quantum scientist to develop and simulate quantum error correction protocols, tailoring them to hardware and characterising qubit noise.

You will design experiments and estimate resources for large-scale applications, guiding hardware and software control to optimise error correction now and in the future. The role requires a PhD (or equivalent) and 5+ years of relevant experience, with strong publication records and communication skills.

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