QEC Theorist

Darwin Recruitment; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Darwin Recruitment seeks a Quantum Characterisation, Verification & Validation Researcher to design and execute experiments for assessing neutral-atom quantum computer performance. You will extract noise information from data and work with experimentalists to improve fidelities.

The role involves collaborating with theorists to develop simulations and predictive models, and creating data analysis tools for benchmarking quantum hardware. A PhD and Python experience are essential.

Qualifications

• PhD or equivalent in Quantum Information, Physics, CS, or mathematics.
• Experience with QCVV methods: randomized benchmarking, cycle benchmarking, in-situ benchmarking, gate set tomography, process tomography, shadow tomography.
• Publications demonstrating QCVV experience.
• Proficient in Python for data acquisition and analysis.
• Familiarity with quantum error correction and fault-tolerance.
• Ability to collaborate across engineering, experimental physics, quantum information, and software disciplines.

Responsibilities

• Design and carry out experiments to identify physical error mechanisms impacting performance.
• Quantify device performance at physical and logical levels.
• Collaborate with experimentalists and control engineers to improve device performance.
• Collaborate with quantum information theorists to translate data into predictive models for hardware performance.
• Develop data analysis tools to benchmark experimental data.

Skills

QCVV methods

Noise analysis

Cross-disciplinary collaboration

Education

PhD or equivalent in Quantum Information, Physics, CS, Mathematics

Tools

Python

Job description

Quantum Characterisation, Verification & Validation Researcher

Job Summary

We are seeking a researcher with a background in quantum characterisation, verification and validation (QCVV), able to design and carry out experiments for assessing the performance of neutral-atom quantum computers.

The presence of unwanted noise on quantum hardware is a key hurdle for practical computation. This role focuses on extracting accurate information about device noise from experimental data.

The role involves designing experiments to evaluate performance metrics, identify correlations and unaccounted noise sources, and provide insights into pathways for improving neutral-atom quantum devices. This includes working with experimentalists to run experiments and turn measurement data into actionable feedback aimed at improving device fidelities by eliminating or mitigating noise. The role also involves working with theorists to develop accurate simulations and predictive models for the performance of quantum hardware.

Responsibilities

• Design and carry out experiments that identify and isolate physical error mechanisms impacting performance, including systems with leakage.
• Quantify device performance at both physical and logical levels.
• Collaborate with experimental physicists and control engineers to improve device performance.
• Collaborate with quantum information theorists to translate device characterisation data into predictive models for quantum hardware performance.
• Develop data analysis tools to process experimental data for benchmarking.

Required Qualifications

• PhD or equivalent in Quantum Information, Physics, Computer Science, Mathematics, or a related field.
• Experience with QCVV methods, including:
  • Randomised benchmarking
  • Cycle benchmarking
  • In-situ benchmarking
  • Gate set tomography
  • Process tomography
  • Shadow tomography
• Relevant research publications demonstrating QCVV experience.
• Experience using Python for data acquisition and analysis.
• Familiarity with quantum error correction and schemes for fault tolerance.
• Ability to collaborate across engineering, experimental physics, quantum information, and software disciplines.

Preferred Qualifications

• Experience working with experimental data and characterising quantum hardware.
• Experience running quantum error correction experiments on physical hardware.
• Familiarity with AMO physics, particularly:
  • Neutral-atom quantum systems
  • Rydberg physics