Quantum annealing (QA) is a heuristic quantum optimization algorithm that can be used to
solve combinatorial optimization problems. In recent years, advances in quantum …

With the continuous and rapid growth of air traffic demand, gate resource becomes a major
bottleneck restricting airport development. Rational gate allocation is regarded as one of the …

Given an extensive set of challenges, the aviation industry is required to undergo a
transformation into a connected, efficient and sustainable ecosystem. This transformation is …

We investigate a hybrid quantum-classical solution method to the mean-variance portfolio
optimization problems. Starting from real financial data statistics and following the principles …

We benchmark the quantum processing units of the largest quantum annealers to date, the
5000+ qubit quantum annealer Advantage and its 2000+ qubit predecessor D-Wave 2000Q …

Quantum annealing offers an approach to finding the optimal solutions for a variety of
computational problems, where the quantum annealing controls influence the observed …

We present a generalization of the binary paint shop problem (BPSP) to tackle an
automotive industry application, the multi-car paint shop (MCPS) problem. The objective of …

In this paper I propose a new method of encoding discrete variables into Ising model qubits
for quantum optimisation. The new method is based on the physics of domain walls in one …

Quantum annealing is a quantum computing approach widely used for optimization and
probabilistic sampling problems. It is an alternative approach designed due to the limitations …

Optimal flight gate assignment is a highly relevant optimization problem from airport
management. Among others, an important goal is the minimization of the total transit time of …