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Proceedings of the International Display Workshops

Combination of Quantum Optimization and Metaverse for Stable Power Grid

Shutaro Ouchi

Published Dec 15, 2022• 0 citations
Publisher
DOI
10.36463/idw.2022.1180

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From the perspective of global warming, efficiency improvement of power grids is a pressing issue. Power grids have many switching devices to control the flow of electricity. Since there is a slight resistance in the wires and power consumption is proportional to the square of the current, the value of power loss on the wires changes depending on the combination of switch values that change the supply path of the current. The total number of switch combinations increases exponentially with the number of switches, and various algorithms have been studied to find the optimal combination of switch values. We propose a method to capture the switch combination problem in power grids as quadratic unconstrained binary optimization (QUBO) and derive an evaluation function to solve it using quantum annealing. The result is registered as a patent P6736787 at Japanese patent office.
The metaverse technology has gained quite a lot of hype lately on the reports that the big businesses want to create Metaverse settings for various applications including the game, assets, the virtual meetings and so on. Metaverse based apps are critical in guaranteeing fast and secure connection as well as integrated high-end technologies such as; virtual reality (VR), augmented reality (AR) and mixed reality (MR). Current hardware and software constraints in the Metaverse have to be addressed right away to be applied today. Problems with security, privacy, connection and complexity of computing are the major causes that slow down the formation of Metaverse. The exceptionally fast capabilities of quantum technology allow it to produce efficient scalable computing outputs at fast speeds. In the article we analyze quantum implementation methods that will work within the Metaverse environment thoroughly. Our study features a case analysis about implementing performance improvements in Metaverse apps through the combination of hybrid quantum kernel-based processing with optimized statistical methods feeding outputs into traditional supervised vector machines. The analysis presented here establishes fundamental research on Metaverse applications grounded in quantum mechanics principles for future investigations.