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Quantum Computing Algorithms in Sustainable Energy Production

Heinen, Xander (2024) Quantum Computing Algorithms in Sustainable Energy Production.

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Abstract:Quantum computing has several promising prospects. With its dependency on quantum computing large, previously unsolvable, problems could be solved. In this research, semi-systematic literature analysis was used to discover popular quantum algorithms with a possible application in sustainable energy production. The algorithms are categorised into two different groups, the quantum chemical simulations algorithms and the quantum optimisation algorithms. The quantum chemical simulations can be used for simulating molecules, allowing better materials and technologies to be discovered for sustainable energy production. The optimization algorithms have a focus on optimising efficiency in energy production by regulating the energy flow of a grid or smart storage of energy. One major theme that haunts all algorithms is current hardware limitations, with all algorithms requiring more processing power than currently available. In addition, most algorithms require careful consideration of initial parameters, meaning that real-world situations need to be represented in the algorithms properly. If these challenges are overcome, quantum computing could enhance sustainable energy production significantly.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Business & IT BSc (56066)
Link to this item:https://purl.utwente.nl/essays/101066
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