3 papers
quant-ph2026
Resource-Scalable Fully Quantum Metropolis-Hastings for Integer Linear Programming
Gabriel Escrig, Roberto Campos, M. A. Martin-Delgado
Integer linear programming (ILP) remains computationally challenging due to its NP-complete nature despite its central role in scheduling, logistics, and design optimization. We in…
quant-ph2025
Quantum Bayesian Inference with Renormalization for Gravitational Waves
Gabriel Escrig, Roberto Campos, Hong Qi +1
Advancements in gravitational-wave interferometers, particularly the next generation, are poised to profoundly impact gravitational wave astronomy and multimessenger astrophysics.…
quant-ph2024
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-…