Research Pillar 01
ICT & Quantum
Quantum and Hybrid Computing sustainability and energy-efficient problems.
Quantum and Hybrid Computing sustainability and energy-efficient problems.
Quantum computing is rapidly gaining traction across diverse scientific domains due to its ability to tackle long-standing computational challenges that conventional computers struggle to address.
One particularly promising application lies in speeding up the resolution of NP-hard optimization problems commonly encountered in industrial sectors like logistics and finance. By harnessing the unique capabilities of quantum computers, we aim to find solutions to sustainability challenges, such as optimising resource allocation or energy management.
This research identifies new directions to tackle these problems, focusing specifically on where quantum advantages can be practically applied in the near future, especially for environmental challenges.
Quantum computers are still in their early stages of development and will not completely replace classical computers in the near future. We focus on hybrid algorithms, which combine the strengths of both computing paradigms. This is gaining traction as a promising approach for near-term applications.
Efficient quantum algorithms are still lacking for many real-world applications. Establishing standardised benchmarks and performance metrics is therefore crucial for comparing different approaches and assessing their practical effectiveness in sectors like energy optimisation and the circular economy.
