Quantum computers are expected to be used in solving large-scale optimization and design problems for which conventional computers are impractical because they require enormous amounts of computational time. Examples of these types of problems include traffic flow control throughout cities to achieve highly energy-efficient movement, and the structural design of lightweight yet high-strength vehicles and parts. As an example of an application in the mobility field, we have shown that reducing the traffic signal control optimization problem to an energy minimization problem based on the Ising model enables quantum computers to perform high-speed, high-efficiency calculations for signal control of 2,500 signals positioned to simulate a wide-area road network. We engage in initiatives that use quantum computers from the dual approaches of applied research and fundamental algorithm construction in aims of creating the future of manufacturing, and of discovering solutions to the challenges faced by society.
Optimization of traffic signal control using the Ising model (quantum algorithm)