54 citations · 156 across the 9 of their papers we have counts for
8 papers · 1 filter
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…
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-…
Hybrid Quantum-Classical Algorithms
Roberto Campos
This thesis explores hybrid algorithms that combine classical and quantum computing to enhance the performance of classical algorithms. Two approaches are studied: a hybrid search…
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.…
Quantum Metropolis Solver: A Quantum Walks Approach to Optimization Problems
Roberto Campos, Pablo A M Casares, M A Martin-Delgado
The efficient resolution of optimization problems is one of the key issues in today's industry. This task relies mainly on classical algorithms that present scalability problems an…
Simulating key properties of lithium-ion batteries with a fault-tolerant quantum computer
Alain Delgado, Pablo A. M. Casares, Roberto dos Reis +9
There is a pressing need to develop new rechargeable battery technologies that can offer higher energy storage, faster charging, and lower costs. Despite the success of existing me…
TFermion: A non-Clifford gate cost assessment library of quantum phase estimation algorithms for quantum chemistry
Pablo A. M. Casares, Roberto Campos, M. A. Martin-Delgado
Quantum Phase Estimation is one of the most useful quantum computing algorithms for quantum chemistry and as such, significant effort has been devoted to designing efficient implem…
QFold: Quantum Walks and Deep Learning to Solve Protein Folding
P A M Casares, Roberto Campos, M A Martin-Delgado
Predicting the 3D structure of proteins is one of the most important problems in current biochemical research. In this article, we explain how to combine recent deep learning advan…