Solving optimization problems in trapped-ion quantum computers

• Grant number: 23/14831-3
• Support Opportunities: Regular Research Grants
• Start date: February 01, 2024
• End date: January 31, 2026
• Field of knowledge: Physical Sciences and Mathematics - Physics
• Mobility Program: SPRINT - Projetos de pesquisa - Mobilidade
• Principal Investigator: Celso Jorge Villas-Bôas
• Grantee: Celso Jorge Villas-Bôas
• Principal researcher abroad: Thomas Monz
• Institution abroad: University of Innsbruck, Austria
• Host Institution: Centro de Ciências Exatas e de Tecnologia (CCET). Universidade Federal de São Carlos (UFSCAR). São Carlos , SP, Brazil
• Associated research grant: 22/00209-6 - Second generation quantum technologies, AP.TEM

Abstract

In this project we will work with optimization algorithms and their implementations in quantumcomputers based on trapped ions, as a proof of concept, with the aim of investigating solutionsto industrial problems. In particular, we will investigate algorithms aimed at object allocationproblems in industrial warehouses, with a special focus on variational algorithms such as theQuantum Approximate Optimization Algorithm (QAOA). This is a project that brings togethertheoretical researchers from UFSCar (São Carlos, Brazil), engineers and business professionalsfrom the von Braun Center (Campinas, Brazil) and a group of experimentalists from the Universityof Innsbruck (Innsbruck, Austria), in order to that we have all the requirements to develop all thenecessary steps to develop solutions for applications of practical interest. (AU)