The work explores the integration of quantum computing into logistics and supply chain
management, emphasising its potential for use in complex optimisation problems. The …

Mixed palletizing constitutes one of the problems in the logistics domain aroused from the
need for fast product movement to satisfy the continuously increasing number of customers …

In the field of e-commerce warehousing, maximizing the utilization of packing bins is a
fundamental goal for all major logistics enterprises. However, determining the appropriate …

The Bin Packing Problem is a classic problem with wide industrial applicability. In fact, the
efficient packing of items into bins is one of the toughest challenges in many logistic …

We introduce a simple algorithm that efficiently computes tensor products of Pauli matrices.
This is done by tailoring the calculations to this specific case, which allows to avoid …

Hybrid quantum computing is considered the present and the future within the field of
quantum computing. Far from being a passing fad, this trend cannot be considered just a …

In this paper, we propose a quantum computing oriented benchmark for combinatorial
optimization. This benchmark, coined as QOPTLib, is composed of 40 instances equally …

The current paper introduces a hybrid data-driven control algorithm obtained by the mix of
two data-driven algorithms, namely intelligent proportional-integral controllers as …

Finding an optimal balance between risk and returns in investment portfolios is a central
challenge in quantitative finance, often addressed through Markowitz portfolio theory (MPT) …

Because of its complexity and prominence in the logistic field, the Pallet Loading Problem
(PLP) has caught the attention of academics and practitioners as one of the most …