David E. Bernal

Ames Research Center — United States

Computer Science · Physical Sciences

16h-index1.1kcitations65works5.82yr avg
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Research Topics

Quantum Computing Algorithms and Architecture(20), Advanced Control Systems Optimization(19), Process Optimization and Integration(15), Advanced Optimization Algorithms Research(12), Quantum Information and Cryptography(8)

Publications65 total

Toward efficient quantum computation of molecular ground‐state energies
AIChE Journal·2025· 2 citedOpen Access
Probing the Ground State of the Antiferromagnetic Heisenberg Model on the Kagome Lattice using Geometrically Informed Variational Quantum Eigensolver
arXiv (Cornell University)·2025Open Access
Surrogate optimization of variational quantum circuits
Proceedings of the National Academy of Sciences·2025· 2 citedOpen Access
50 years of mixed-integer nonlinear and disjunctive programming
European Journal of Operational Research·2025· 2 citedOpen Access
MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption
2025· 1 cited
Ground-State Energy Estimation on Current Quantum Hardware through the Variational Quantum Eigensolver: A Practical Study
Journal of Chemical Theory and Computation·2025· 4 citedOpen Access
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration across Distributed Data Sources
Industrial & Engineering Chemistry Research·2025· 3 cited
Benchmarking quantum optimization for the maximum-cut problem on a superconducting quantum computer
Physical Review Applied·2025· 6 cited
Logic-Based Discrete-Steepest Descent: A solution method for process synthesis Generalized Disjunctive Programs
Computers & Chemical Engineering·2025· 6 cited
HamLib: A library of Hamiltonians for benchmarking quantum algorithms and hardware
Quantum·2024· 12 citedOpen Access
MQFL-FHE: Multimodal Quantum Federated Learning Framework with Fully Homomorphic Encryption
arXiv (Cornell University)·2024· 1 citedOpen Access
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources
arXiv (Cornell University)·2024Open Access
Federated learning with tensor networks: a quantum AI framework for healthcare
Machine Learning Science and Technology·2024· 13 citedOpen Access
Federated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML
arXiv (Cornell University)·2024· 4 citedOpen Access
Optimization Applications as Quantum Performance Benchmarks
ACM Transactions on Quantum Computing·2024· 48 citedOpen Access
Designing Reverse Electrodialysis Process for Salinity Gradient Power Generation via Disjunctive Programming
Systems and Control Transactions·2024Open Access
A Copositive Framework for Analysis of Hybrid Ising-Classical Algorithms
SIAM Journal on Optimization·2024· 3 cited
Surrogate optimization of variational quantum circuits
arXiv (Cornell University)·2024· 3 citedOpen Access
Convex mixed-integer nonlinear programs derived from generalized disjunctive programming using cones
Computational Optimization and Applications·2024· 6 cited
Disjunctive Programming meets QUBO
Computer-aided chemical engineering/Computer aided chemical engineering·2024
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Frequent Co-authors

Ignacio E. Grossmann(19), Jorge M. Gómez(6), Luis Ricardez‐Sandoval(6), Pau Closas(6), Juan A. Fernandez–Rubio(6), Norm M. Tubman(6), Jan Kronqvist(5), David A. Liñán(5), Nicolas P. D. Sawaya(5), Li-Jie Su(3), Lixin Tang(3), Carles Fernández–Prades(3), Daniel Marti-Dafcik(3), Yang Ho(3), Daniel P. Tabor(3), Alicia Magann(3), Shavindra Premaratne(3), Pradeep Dubey(3), A. Y. Matsuura(3), N. C. Bishop(3)