output
20032024
most citedPenalty Weights in QUBO Formulations: Permutation Problems

54 citations

16 papers

quant-ph2024★ 3 cited

Survey on Computational Applications of Tensor Network Simulations

Marcos Díez García, Antonio Márquez Romero

Tensor networks are a popular and computationally efficient approach to simulate general quantum systems on classical computers and, in a broader sense, a framework for dealing wit…

quant-ph2023★ 18 cited

Platinum-based Catalysts for Oxygen Reduction Reaction simulated with a Quantum Computer

Cono Di Paola, Evgeny Plekhanov, Michal Krompiec +7

Hydrogen has emerged as a promising energy source, holding the key to achieve low-carbon and sustainable mobility. However, its applications are still limited by modest conversion…

cs.AI2023★ 6 cited

Applying Ising Machines to Multi-objective QUBOs

Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez +2

Multi-objective optimisation problems involve finding solutions with varying trade-offs between multiple and often conflicting objectives. Ising machines are physical devices that…

cs.AI2022★ 2 cited

A Study of Scalarisation Techniques for Multi-Objective QUBO Solving

Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez +1

In recent years, there has been significant research interest in solving Quadratic Unconstrained Binary Optimisation (QUBO) problems. Physics-inspired optimisation algorithms have…

math.OC2022★ 54 cited

Penalty Weights in QUBO Formulations: Permutation Problems

Mayowa Ayodele

Optimisation algorithms designed to work on quantum computers or other specialised hardware have been of research interest in recent years. Many of these solver can only optimise p…

cs.AI2022★ 13 cited

Multi-objective QUBO Solver: Bi-objective Quadratic Assignment

Mayowa Ayodele, Richard Allmendinger, Manuel López-Ibáñez +1

Quantum and quantum-inspired optimisation algorithms are designed to solve problems represented in binary, quadratic and unconstrained form. Combinatorial optimisation problems are…