Quantum Architecture Scientist - Decoding

Xanadu

Toronto

On-site

CAD 120,000 - 140,000

Full time

14 days+

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Job summary

A quantum computing company in Toronto is seeking a member for its Quantum Architecture team. The successful candidate will work on quantum error correction focusing on decoding methods for quantum error correcting codes. Required qualifications include an MSc or PhD in a technical field and experience with error-correcting codes. The position offers a base salary range of 120,000 - 140,000 CAD, equity, and benefits.

Qualifications

  • Ability to operate in a fast-paced environment while managing multiple priorities.
  • Experience with classical and quantum error-correcting code constructions.
  • Demonstrated programming skills with familiarity in version control software.

Responsibilities

  • Work on quantum error correction aspects for photonic quantum computer.
  • Focus on decoding methods for quantum error correcting codes.

Skills

Quantum error correction
Decoding algorithms
Programming
Mathematics
Version control (Git)

Education

MSc or PhD in Physics, Engineering, Computer Science, or related field

Tools

Git
Julia
Python
FPGAs
ASICs
C/C++

Job description

About Xanadu:

Xanadu’s mission is to build quantum computers that are useful and available to people everywhere.

At Xanadu, we are learners, innovators, researchers, collaborators and problem solvers. We are creating something that has never been built before. What we are doing is extremely hard, the classic moon shot. Few people in their life will be able to be a part of something like this, where if we are successful, the technologies we develop will solve some of the world’s most challenging problems and literally change the world. And that is something to be excited about!

Your role and responsibilities:

As a member of the Quantum Architecture team, the selected candidate will work on various aspects of quantum error correction for Xanadu’s photonic quantum computer with a focus on decoding methods for quantum error correcting codes.

Basic qualifications and experience:
  • MSc or PhD in Physics, Engineering, Computer Science, or a related technical field.
  • Ability to operate in a fast-paced environment and manage multiple competing priorities/deadlines.
  • Experience with classical and quantum error-correcting code constructions.
  • Expertise in theory and implementation of decoding algorithms for quantum error-correcting codes, especially in message-passing algorithms such as belief propagation and its variants.
  • Demonstrated programming skills (include GitHub or similar on CV) and familiarity with version control software such as Git.
  • Strong knowledge of mathematics.
Preferred qualifications and experience:
  • PhD, postdoctoral or industry experience in quantum physics or technology.
  • Exposure to FPGAs or ASICs.
  • Exposure to C/C++.
  • Expertise with Julia (preferred) or Python.
  • Experience with decoding both CSS and non-CSS codes

This is for an existing position. Your base salary will be determined based on your location, experience, and internal benchmarks. The base salary range is 120,000 - 140,000 CAD. You will also be eligible for equity and benefits.

Our values are important. They are fundamental and lay the foundation for culture at Xanadu. Learn more about our values here.

We are an equal opportunity employer and encourage candidates of all backgrounds to apply. We are committed to building an inclusive, safe, and equitable culture and fostering an environment where our employees feel included, valued, and heard. We are committed to meeting the needs of all individuals and support a barrier-free workplace. Should you require accommodations at any point during the recruitment process please contact Recruiting at recruiting@xanadu.ai.

Please be advised that we may use artificial intelligence (AI) tools to assist in the screening and assessment of applicants for this position. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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