Quantum Algorithms Engineer

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, UK. In 2023 we completed a £13m Series A funding round led by Playground Global, and in 2024 we opened our Washington DC office led by Steve Flammia. Phasecraft's access to today's best quantum computers through partnerships with Google, IBM, Rigetti, and QuEra provides unique opportunities to develop foundational IP and accelerate commercialisation of high-value breakthroughs.

As we continue to grow, an exciting opportunity has arisen to join our talented team as a Quantum Algorithms Engineer. The ideal candidate will have experience implementing advanced quantum algorithms or demonstrated potential to contribute to this area. A background in quantum computing is not strictly required, nor is a track record of publishing papers; however, the candidate should demonstrate a keen interest in quantum computing through formal or independent studies.

• Implementing and evaluating advanced classical and/or quantum algorithms based on technical papers and research conducted by our team of Quantum Algorithms Scientists.
• Working collaboratively in a small team made up of full-time staff and affiliated PhD students
• Other activities as required to support the growth and success of Phasecraft

• Good understanding of algorithms and algorithmic analysis
• Strong programming skills, including in Python
• Bachelor or Masters degree in Computer Science, Mathematics, Physics or closely related field
• Ability to work flexibly, independently, and to foster a pragmatic approach to producing efficient, workable code

• Exposure to quantum computing and/or quantum information theory, via formal or independent studies
• Experience coding in quantum development environments (e.g. Cirq, Qiskit, QuEST) or in implementing quantum algorithms or novel classical algorithms on classical computers
• Knowledge of quantum chemistry/materials science and experience coding with relevant computational packages such as Wannier90, PySCF; or experience with algorithms and software for combinatorial optimization such as Gurobi or SAT solvers
• Software engineering experience, including version control, CI/CD

• Entry level

• Full-time

• Other

• IT Services and IT Consulting

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