In the last couple of years, applications of Quantum Computing have expanded across multiple industries, in particular finance, healthcare, telecommunications, cybersecurity and logistics among many others.
In fields such as Machine Learning, Artificial Intelligence, Combinatorial Optimization and Molecular Simulation, problems are often very complex and require a great amount of computational power to be solved. Very often, this complexity prevents organisations from tackling these problems altogether and allows only for heuristic approaches. In other cases, the results need to be improved. The reasons might be manifold, namely the task must be tackled quickly, in a limited amount of time and thus only suboptimal approaches can be used, complexity is so high that state-of-the-art algorithms are not able to yield the best solutions possible or the computational requirements are so heavy that no modern technology is able to handle it.