1 research outputs found
When could NISQ algorithms start to create value in discrete manufacturing ?
Are quantum advantages in discrete manufacturing achievable in the near term?
As manufacturing-relevant NISQ algorithms, we identified Quantum Annealing (QA)
and the Quantum Approximate Optimization Algorithm (QAOA) for combinatorial
optimization as well as Derivative Quantum Circuits (DQC) for solving
non-linear PDEs. While there is evidence for QAOA's outperformance, this
requires post-NISQ circuit depths. In the case of QA, there is up to now no
unquestionable evidence for advantage compared to classical computation. Yet
different protocols could lead to finding such instances. Together with a
well-chosen quantum feature map, DQC are a promising concept. Further
investigations for higher dimensional problems and improvements in training
could follow.Comment: 39 pages (thesis