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Algorithms for intelligent systems

The Quantum Leap: Unleashing Quantum Computing for Next-Generation Renewable Energy Optimization and Applications

Vennapusa Mahesh Kumar Reddy, Gurrampati Sreenivasula, G. K. D. Prasanna Venkatesan

Published Aug 2, 2026• 0 citations
Publisher
DOI
10.1007/978-3-032-26927-0_26

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Quantum Green Computing represents a transformative paradigm that merges the power of quantum computational techniques with the principles of sustainability to drive innovation in renewable resource management.This paper investigates the interplay between quantum algorithms, energy-efficient system architectures, and advanced renewable energy technologies-including solar photovoltaics, wind energy systems, and bioenergy solutions.By leveraging the unique capabilities of quantum computing, such as superior optimization, high-dimensional modeling, and rapid problem-solving, the study explores novel strategies for addressing the inherent complexities of renewable energy integration.The research emphasizes three core dimensions: (1) the application of quantum optimization algorithms to enhance grid stability, load balancing, and real-time decision-making; (2) the development of energy-efficient quantum-inspired hardware architectures that align with green computing objectives; and (3) the formulation of predictive and adaptive models for renewable resource allocation using quantum-inspired approaches.Furthermore, the paper highlights case studies that demonstrate how quantum techniques can significantly improve grid management, predictive maintenance of renewable infrastructures, and long-term forecasting of resource availability under dynamic environmental conditions.By critically evaluating these emerging pathways, the study outlines a vision where quantum-enabled sustainability not only reduces carbon emissions but also maximizes energy utilization efficiency.This integration holds the potential to revolutionize the global renewable energy landscape, enabling resilient, lowcarbon ecosystems capable of supporting the growing demands of a sustainable future.
Today, humanity is paying more attention to the use of renewable energy sources. There are many reasons for this: It is more environmentally friendly. In other words, renewable energy is a better choice than other types of energy to prevent pollution, the greenhouse effect, and to leave a healthier nature (Earth) for the next generation; it is inexhaustible. Unlike other types of energy, renewable energy cycles endlessly. We, the generation(s) after us will be able to benefit (use) this energy; and finally, “green energy for green technology.” On the other hand, today still from other types of energy, the use of nonrenewable energies continues. One of the main reasons for this is the relatively slow progress of the transition to an entirely renewable energy era. This is related to the development of technology. In addition, people still need nonrenewable forms of energy. Because these types of energy, which are relatively cheaper, have been used by people for a long time. At the same time, this type of energy is considered more reliable. But looking at the recent past, it seems that there is a big problem here. Because long-term studies predict that the world’s nonrenewable energy will run out in the next ten years. This is a key indicator that people will need more renewable energy in the future. Yet in the world we live in and in our present time, we still use and benefit from this energy. In this section, we will look at the types of fossil fuels, oil and gas, which are nonrenewable energy. We will discuss the application of technology in their exploration, as well as the possibilities of quantum computing in oil and gas exploration, which continues to be developed as a next-generation area.
Discover how quantum computing is set to revolutionize cybersecurity, drug discovery, and optimization, and gain the essential, multi-field foundation you need to lead the next technological leap. As quantum computing continues to advance, interdisciplinary collaboration is increasingly essential for unlocking its full potential. This book offers a comprehensive exploration of this cutting-edge technology and its transformative potential across various fields. It covers fundamental concepts of quantum mechanics, quantum computing models, algorithms, and hardware architectures, providing readers with a solid foundation to understand the principles underlying quantum computation. The book delves into practical applications of quantum computing, ranging from cryptography and cybersecurity to optimization problems, drug discovery, and materials science. Through detailed case studies and examples, readers gain insights into how quantum computing can revolutionize industries and address complex real-world challenges, making it a valuable resource for individuals seeking to stay informed about the latest developments in quantum computing.