Incorporating quantum-inspired optimisation algorithms with design optimisation will be the key to tackling the Battery Thermal Management System (BTMS) issue for electrical vehicles to create immense value for the global electric mobility movement
This year’s Nobel Prize in Physics has been awarded to Alain Aspect, John Clauser, and Anton Zeilinger for their groundbreaking quantum physics experiments.
Many real-life problems like the modelling of the brain, simulation of propagation of cancer in the human system, drug discovery for combating drug-resistant bacteria, understanding the impact of our decisions on carbon footprint and global warming, forecasting weather and natural calamities, reducing the cycle time of designing complex systems like electric vehicles, aircraft and simulating their performance before physical manufacturing, can be better solved by using quantum-inspired algorithms running on quantum computers. Classical computers (working on bits-zeros and ones) impose massive constraints on complex modelling phenomena, and the run time of accurate algorithms is very long. In this article, we discuss how the quantum-inspired algorithm can solve a complex problem of Battery Thermal Management Systems in electric vehicles, which has caused several accidents in the recent period.
[This article has been reproduced with permission from the Indian School of Business, India]