Research Scientist, Applied Quantum Algorithms

London
Science & Technology – Quantum Algorithms and Machine Learning /
Full-time /
Hybrid
We are seeking a Research Scientist for our Quantum Algorithms team in London.
 
Our team is leading the development, implementation, simulation, and application of quantum algorithms to computational problems of practical interest. We are seeking a research scientist with experience in designing, implementing and simulating quantum algorithms and an interest in applying those to real-world problems. The ideal candidate will have hands-on experience in at least one of our core research interests in applied quantum algorithms or in classical simulation methods. The successful candidate will contribute to ongoing research and implementation within a team of scientists and also contribute to industry collaborations. Our team members regularly publish scientific papers and present results at conferences.

Key responsibilities:

    • Contribute to the team’s research and development in quantum algorithms for future applications as well as in classical simulation methods, e.g. based on tensor networks, neural networks or (quantum) Monte Carlo methods
    • Work with other teams to implement and tailor key quantum algorithmic or classical simulation primitives
    • Contribute to industry R&D collaborations in applying quantum or quantum-inspired classical algorithms to computational problems with a focus on solving partial differential equations
    • Communicate scientific results within the company and externally via publications and presentations

Requirements:

    • PhD in a relevant field (physics, mathematics, computer science etc.)
    • Experience in quantum algorithms and their applications to computational problems or in classical simulation methods, e.g. tensor networks, neural networks or (quantum) Monte Carlo methods

What we value:

    • Demonstrated research track record via publications in a relevant field
    • Excellent spoken and written communication skills
    • Experience with applications such as simulating quantum systems, solving (nonlinear) partial differential equations and machine learning
    • Familiarity with the implementation of quantum algorithms on simulators or quantum hardware
    • Programming skills in a high-level language such as Python and relevant tools such as JAX, pytket, Qiskit etc.