4 papers
Quantum Annealing for Dynamic Portfolio Optimization under Realistic Transaction Costs
Escolástico Sánchez-MartÃnez, Senaida Hernandez Santana, Ventura Sarasa Laborda +3
This paper investigates and compares quantum and classical investment strategies for portfolio construction under realistic trading and allocation constraints. The study considers…
QUBO-based training for VQAs on Quantum Annealers
Ernesto Acosta, Guillermo Botella, Carlos Cano
Quantum annealers provide an effective framework for solving large-scale combinatorial optimization problems. This work presents a novel methodology for training Variational Quantu…
Factoring integers via Schnorr's algorithm assisted with VQE
Luis Sánchez Cano, Ginés Carrascal de las Heras, Guillermo Botella Juan +1
Current asymmetric cryptography is based on the principle that while classical computers can efficiently multiply large integers, the inverse operation, factorization, is significa…
Adiabatic training for Variational Quantum Algorithms
Ernesto Acosta, Carlos Cano Gutierrez, Guillermo Botella +1
This paper presents a new hybrid Quantum Machine Learning (QML) model composed of three elements: a classical computer in charge of the data preparation and interpretation; a Gate-…