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Job Description

  • Develop models for readout and reset in superconducting qubits, including numerical models of physical processes causing errors.
  • Validate models with experimental results for system optimization and design.
  • Collaborate closely with the hardware team to analyze and theoretically understand experimental data.
  • Develop and maintain software and integrate it with data-taking infrastructure.
  • Propose and analyze prospective readout and reset schemes with advanced performance.

Minimum qualifications:

  • PhD degree in Physics, Electrical Engineering, or equivalent practical experience.
  • Experience with modeling of qubit systems.
  • Experience in programming using Python.
  • One of more scientific publication submission(s) for conferences, journals, or public repositories related to Quantum computing.

Preferred qualifications:

  • Experience with modeling superconducting qubit operations, particularly readout and reset.
  • Experience with numerical simulations of quantum systems and with high-performance computing tools.
  • Experience collaborating with experimentalists on quantum computing projects or analyzing/modeling experimental data.
  • Experience with microwave engineering of superconducting qubits.
  • Experience with error correction codes.
  • Familiarity with circuit Quantum Electrodynamics (cQED).
  • PhD degree in Physics, Electrical Engineering, or equivalent practical experience.
  • Experience with modeling of qubit systems.
  • Experience in programming using Python.
  • One of more scientific publication submission(s) for conferences, journals, or public repositories related to Quantum computing.
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  • Role Research Scientist, Modeling of Readout and Reset, Quantum
  • Experience 3-4 years
  • Education Any
  • Work type On-site
  • Location United States
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview

Approx. salary range

265K – 404K

Our estimate — this employer did not publish a salary

Our estimate, not the employer’s. Worked out from the middle half of 84 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

Eligibility
United States Right to work in the United States required.
Workplace
On-site
Job Posted:
1 week ago
Job Type
Full Time
Education
Any
Experience
3-4 years

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