Acceleration of quantum chemistry model solutions with quantum computing and machine learning

Who it is for

• omputing and machine learning Apply Key facts Opens: Wednesday 28 June 2023 Deadline: Wednesday 9 August 2023 Number of places: 1 Duration: 42 months Funding: Home fee, International fee, Stipend, Travel costs Overview We will explore how the solution of quantum chemistry models can be accelerated with analogue quantum simulators,
• and identify relevant hardware requirements and likely timescales for this to be realised.
• This will involve both state-of-the art classical numerical techniques, and exploring near-term uses for quantum hardware.
• Eligibility Project details Funding details Supervisors App