Quantum computing, an emerging paradigm based on the principles of quantum mechanics,
has the potential to revolutionise various industries, including Telecommunications. This …

We propose an efficient algorithm that combines column generation and quantum annealing
to solve binary quadratic problems. Binary quadratic problems are difficult to solve because …

This paper presents a hybrid classical-quantum approach to solve mixed-integer linear
programming (MILP) using neutral-atom quantum computations. We apply Benders …

Emerging quantum computing technologies, such as Noisy Intermediate-Scale Quantum
(NISQ) devices, offer potential advancements in solving mathematical optimization …

Ising machines are expected to solve combinatorial optimization problems faster than the
existing integer programming solvers. These problems, particularly those encountered in …

Neutral atom technology has steadily demonstrated significant theoretical and experimental
advancements, positioning itself as a front-runner platform for running quantum algorithms …

Sparse Ising problems can be found in application areas such as logistics, condensed
matter physics and training of deep Boltzmann networks, but can be very difficult to tackle …

We propose analog counterdiabatic quantum computing (ACQC) to tackle combinatorial
optimization problems on neutral-atom quantum processors. While these devices allow for …

In this work we closely examine the overlap between (1) the computationally challenging
problems in geophysical applications in the upstream business and (2) the capabilities of …

Este informe tiene por objetivo principal ofrecer a los profesionales de las matemáticas tanto
un punto de entrada al mundo de la computación cuántica como un resumen del estado del …