David E. Bernal Neira

19 papers B 1Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
50 years of mixed-integer nonlinear and disjunctive programming.
Eur. J. Oper. Res.
Jan Kronqvist, David E. Bernal Neira, Ignacio E. Grossmann
2026 J jnl
Multi-GPU quantum circuit simulation and the impact of network performance.
Comput. Phys. Commun.
W. Michael Brown, Anurag Ramesh, Thomas Lubinski, Thien Nguyen, David E. Bernal Neira
2025 J jnl
Benchmarking the operation of quantum heuristics and Ising machines: scoring parameter setting strategies on optimization applications.
Quantum Mach. Intell.
David E. Bernal Neira, Robin A. Brown, Pratik Sathe, Filip A. Wudarski, Marco Pavone, Eleanor Gilbert Rieffel, Davide Venturelli
2025 J jnl
Logic-Based Discrete-Steepest Descent: A solution method for process synthesis Generalized Disjunctive Programs.
Comput. Chem. Eng.
Daniel Ovalle, David A. Liñán, Albert Lee, Jorge M. Gómez, Luis A. Ricardez-Sandoval, Ignacio E. Grossmann, David E. Bernal Neira
2025 B conf
MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption.
IJCNN
Siddhant Dutta, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique, David E. Bernal Neira
2025 J jnl
Multi-GPU Quantum Circuit Simulation and the Impact of Network Performance.
CoRR
W. Michael Brown, Anurag Ramesh, Thomas Lubinski, Thien Nguyen, David E. Bernal Neira
2024 — conf
A Multilevel Approach for Solving Large-Scale QUBO Problems with Noisy Hybrid Quantum Approximate Optimization.
HPEC
Filip B. Maciejewski, Bao G. Bach, Maxime Dupont, Paul Aaron Lott, Bhuvanesh Sundar, David E. Bernal Neira, Ilya Safro, Davide Venturelli
2024 — conf
Accelerating Continuous Variable Coherent Ising Machines via Momentum.
CPAIOR (1)
Robin A. Brown, Davide Venturelli, Marco Pavone, David E. Bernal Neira
2024 — conf
Addressing Discrete Dynamic Optimization via a Logic-Based Discrete-Steepest Descent Algorithm.
CDC
Zedong Peng, Albert Lee, David E. Bernal Neira
2024 J jnl
Assessing and advancing the potential of quantum computing: A NASA case study.
Future Gener. Comput. Syst.
Eleanor Gilbert Rieffel, Ata Akbari Asanjan, M. Sohaib Alam, Namit Anand, David E. Bernal Neira, Sophie Block, Lucas T. Brady, Steve Cotton, Zoe Gonzalez Izquierdo, Shon Grabbe, Erik Gustafson, Stuart Hadfield, Paul Aaron Lott, Filip B. Maciejewski, Salvatore Mandrà, Jeffrey Marshall, Gianni Mossi, Humberto Munoz Bauza, Jason Saied, Nishchay Suri, Davide Venturelli, Zhihui Wang, Rupak Biswas
2024 J jnl
Classical and Quantum Distributed Algorithms for the Survivable Network Design Problem.
CoRR
Phillip A. Kerger, David E. Bernal Neira, Zoe Gonzalez Izquierdo, Eleanor Gilbert Rieffel
2024 J jnl
Federated Hierarchical Tensor Networks: a Collaborative Learning Quantum AI-Driven Framework for Healthcare.
CoRR
Amandeep Singh Bhatia, David E. Bernal Neira
2024 J jnl
Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML.
CoRR
Siddhant Dutta, Pavana P. Karanth, Pedro Maciel Xavier, Iago Leal de Freitas, Nouhaila Innan, Sadok Ben Yahia, Muhammad Shafique, David E. Bernal Neira
2024 J jnl
Federated learning with tensor networks: a quantum AI framework for healthcare.
Mach. Learn. Sci. Technol.
Amandeep Singh Bhatia, David E. Bernal Neira
2024 J jnl
HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware.
Quantum
Nicolas P. D. Sawaya, Daniel Marti-Dafcik, Yang Ho, Daniel P. Tabor, David E. Bernal Neira, Alicia B. Magann, Shavindra P. Premaratne, Pradeep Dubey, Anne Y. Matsuura, Nathan Bishop, Wibe A. de Jong, Simon C. Benjamin, Ojas Parekh, Norm M. Tubman, Katherine Klymko, Daan Camps
2024 J jnl
Measure This, Not That: Optimizing the Cost and Model-Based Information Content of Measurements.
CoRR
Jialu Wang, Zedong Peng, Ryan Hughes, Debangsu Bhattacharyya, David E. Bernal Neira, Alexander W. Dowling
2024 J jnl
Measure this, not that: Optimizing the cost and model-based information content of measurements.
Comput. Chem. Eng.
Jialu Wang, Zedong Peng, Ryan Hughes, Debangsu Bhattacharyya, David E. Bernal Neira, Alexander W. Dowling
2024 J jnl
Optimization Applications as Quantum Performance Benchmarks.
ACM Trans. Quantum Comput.
Thomas Lubinski, Carleton Coffrin, Catherine McGeoch, Pratik Sathe, Joshua Apanavicius, David E. Bernal Neira, Quantum Economic Development Consortium(QED-C) Collaboration
2024 J jnl
Utilizing modern computer architectures to solve mathematical optimization problems: A survey.
Comput. Chem. Eng.
David E. Bernal Neira, Carl D. Laird, Laurens Lueg, Stuart M. Harwood, Dimitar Trenev, Davide Venturelli