Potential research projects:

• Quantum-classical circuit optimisation.Optimisation of quantum programs where classical and quantum runtimes interact in real time.
• ML based quantum circuit optimisation.Examples: recommendation engine for which optimisation passes to run, or which circuit rewrites to apply to a circuit.
• QEC-aware circuit optimisation.New challenges: fault tolerance must be respected, each QEC code has its own trade-offs and cost metrics, etc.
• Benchmarking optimisation passes.To support ongoing development, it is vital to conduct benchmarks of optimisation techniques we and others develop.
• When applying for this internship position, let us know if these projects or any others on circuit optimisation would be of interest to you

You must have:

• Background.STEM with experience in computer science and programming. MSc and PhD students or undergraduates with exceptional research maturity.
• Research skills.Search and read scientific literature, critical thinking, ability to come up with ideas independently and communicate problems effectively.
• Prior Experience.Basic understanding of quantum circuits and linear algebra is expected. When applying, include a cover letter explaining the skills and experience that make you a good candidate for the project(s) you are interested in.
• Can-do attitude. We look for self-motivated individuals. You will be facing cutting-edge research problems where it is easy to get stuck. Exciting? Apply!

PI262160172