Quantum Optimization with contraints - a new research approach using qudit-sum gates
Quantum optimization is emerging as a prominent candidate for exploiting the capabilities of near-term quantum devices. Many application-relevant optimization tasks require the inclusion of inequality constraints. Our recent research explores a new approach using qudit-sum gates. The video gives a glimpse into this research and its potential application. The full research as part of the NeQST project can be found in this paper .