Reply announced that it has implemented a Quantum Inspired Algorithm, that can be used on both Quantum and traditional computers, for Enel, one of the leading global operators in the electricity and renewable energy production sector. The innovative solution allows Enel to quickly identify the optimal allocation of maintenance activities for operating units distributed across the areas where it operates. For Enel, which boasts a presence in over 30 countries around the world, a network of over 2.2 million kilometres and 74 million end users, it is essential to coordinate the crews and the allocation and planning of the objectives of the operating units scattered throughout the various territories to guarantee the high level of service for its customers.

Hence the need for operational planning that is as efficient as possible. The solution developed by Reply is based on the QUBO (Quadratic Unconstrained Binary Optimisation) mathematical model and can be performed effectively by quantum hardware, known as Quantum Processing Units or QPUs, as well as by classical hardware, known as Graphics Processing Units or GPUs. Extracting the maximum potential of the GPUs was possible the MegaQUBO accelerator, a software solution developed by Data Reply to speed up the implementation of Quantum Inspired Optimisation projects.

MegaQUBO is a solution certified by Amazon Web Services for use on the AWS Cloud, through the “FTR - Foundational Technical Review” process, which ensures that the software adheres to AWS architectural best practices. In addition to identifying the optimal allocation of activities, the algorithm created for Enelis also able to calculate the optimal travel routes to reach work destinations, minimising travel times and distances and maximising the time available for actual maintenance work. This leads to a significant increase in productivity and a substantial reduction in operating costs, as well as the corresponding environmental impact.