This problem is a UK government area of research interest (ARI) that was originally posted at https://ari.org.uk/ by a UK government organisation to indicate that they are keen to see research related to this area.
Can quantum optimisation algorithms improve efficiencies/provide optimal routes for public transport and fleet operators?
The grow and level up the economy strategic priority is at the heart of the government’s agenda to spread opportunity across the UK. Transport has a crucial role to play, whether it be through improving connectivity across the United Kingdom and growing the economy by enhancing the transport network, on time and on budget. DfT has a number of specific interests in this space, notably our infrastructure projects, Places for Growth and our apprenticeships and skills work.
Contact details
bridgetoresearch@dft.gov.uk
Related UKRI Projects
- Exploiting Quantum Computing for Large-Scale Transport Models
- Quantum-Enhanced Sustainable Transportation (QuEST)
- Quantum Annealing for Transport Optimization - QATO
- Quantum optimised Electric Vehicle charger locations
- Quantum algorithms for optimised planning/scheduling applications (Feasibility Study)
- QECCO: Quantum End-to-end Compilation for Combinatorial Optimisation
- Near-term quantum computing for solving hard industrial optimisation problems