Quantum Algorithms Scientist - Optimization

Bristol, United Kingdom
14 months ago
Job Type
Permanent
Work Location
Hybrid
Posted
13 May 2025 (14 months ago)

Phasecraft is the quantum algorithms company. We are building the mathematical foundations for quantum computing applications that solve real-world problems. Founded in 2019 by Toby Cubitt, Ashley Montanaro and John Morton, we are based in London and Bristol in the UK and opened an office in Washington DC in 2024, led by Steve Flammia. In 2023 we completed a $17m Series A funding round led by leading Silicon Valley deep tech VC, Playground Global.

Phasecraft’s unprecedented access to today’s best quantum computers – through partnerships with Google, IBM, Quantinuum and QuEra – provides us with unique opportunities to develop foundational IP, inform the development of next-generation quantum hardware, and accelerate commercialization of high-value breakthroughs.

We are looking to hire a Quantum Algorithms Scientist to join our team. The ideal candidate will have experience in the theory and/or implementation of optimization algorithms for gate-model quantum computers, or in classical optimization or constraint satisfaction algorithms; or otherwise strong evidence of potential to contribute to these areas. Their work will initially focus on these topics, though they will have the opportunity to grow a portfolio of research activity across the breadth of Phasecraft’s interests. A background in quantum computing is not necessarily required, though in this case a successful candidate will have evidence of the ability to design and implement advanced algorithms for optimization and/or constraint satisfaction.

Job Description

  • Undertake theoretical and/or applied research and/or software development for near-term quantum computing applications, with an initial focus on quantum algorithms and software for combinatorial optimization and/or constraint satisfaction problems.
  • Help to author publications, presentations, patent applications and similar resulting from the research.
  • Work collaboratively in a small team made up of full-time staff and affiliated PhD students.
  • Work with stakeholders on collaborations applying quantum computing to optimization problems.
  • Other activities as required to support the growth and success of Phasecraft.

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