This is a report of the results of an investigation carried out by Groovenauts, Inc. and Mitsubishi Estate Co., Ltd. It examines their use of “MAGELLAN BLOCKS”, the world's only cloud platform equipped with AI and quantum computers to perform “Waste Collection Route Optimization” for efficient collection and transportation of waste in the Marunouchi area of Tokyo. This is the first report in Japan to verify the results of the use of AI and quantum computers employing annealing method to address the issue of area waste collection through route optimization.
By utilizing the machine learning / deep learning and quantum computing technology of MAGELLAN BLOCKS, the amount of waste generated was able to be predicted with an extremely high level of accuracy (about 94%), and based on that prediction, the optimal route was able to be deciphered from amongst a vast set of possibilities. CO2 emissions can be expected to be reduced by approximately 57% in the Marunouchi area by improving the efficiency of waste collection, transportation, and minimalization of travel distances.
Read the report.