In the previous article, we simulated infection between stations in a wide area of Tokyo. The heat map is multiplied by the number of publicly available riders. The simulation was based on the formulation of QUBO, which includes JR East, Tokyo Metro, Toei Subway, and other private railway companies. This is the final version for the greater Tokyo area. This time, we modularized the train data and made it versatile so that it can be calculated in other areas. The simulation is primarily designed to alert people to Social Distancing and Stay Home in the spread of infection.
Initially, several stations on the Yamanote Line were selected at random.
From there, we spread the infection little by little in time development.
Eventually, we can see how it will spread little by little, mainly in Tokyo. The calculation was performed using a hybrid system, Leap2, from D-Wave, Canada, using a total coupling of about 1500 qubits.
In fact, the number of passengers is decreasing considerably, so it can be changed by reducing the number of passengers in the value introduced in the simulation.
Let’s try to remedy the situation with individual reminders.