David E. Bernal Neira
Computer Science · Purdue University West Lafayette
Publications
34
Citations
62
Est. group size
~1
Recurring co-author estimate
Active years
6
Publishing since 2021
David E. Bernal Neira works on quantum computing, particularly on benchmarking and improving quantum algorithms, simulators, and hardware for optimization and simulation tasks. His work also connects to mathematical optimization methods used in engineering, including mixed-integer programming and applications in chemical process design. This mix of quantum computing research and optimization theory reflects a background bridging computer science and chemical/process engineering.
Publication output was minimal or absent before 2021, then increased sharply starting in 2023 and peaked in 2024, suggesting a rapidly growing and currently active research output.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Multi-GPU quantum circuit simulation and the impact of network performance
Computer Physics Communications · 2026
- A Comprehensive Cross-Model Framework for Benchmarking the Performance of Quantum Hamiltonian Simulations
IEEE Transactions on Quantum Engineering · 2025
- Benchmarking the operation of quantum heuristics and Ising machines: scoring parameter setting strategies on optimization applications
Quantum Machine Intelligence · 2025
- Quantum Optimization Benchmarking Library - The Intractable Decathlon
arXiv (Cornell University) · 2025
- A Practical Framework for Assessing the Performance of Observable Estimation in Quantum Simulation
2025
- Evaluating the performance of quantum processing units at large width and depth
arXiv (Cornell University) · 2025
- Intensified production of butyl citrates from a calcium citrate salt via solid-liquid reaction
Chemical Engineering Journal · 2025
- A Practical Framework for Assessing the Performance of Observable Estimation in Quantum Simulation
arXiv (Cornell University) · 2025
- Mixed-Integer Reaggregated Hull Reformulation of Special Structured Generalized Linear Disjunctive Programs
Industrial & Engineering Chemistry Research · 2025
- Assessing and advancing the potential of quantum computing: A NASA case study
Future Generation Computer Systems · 2024
- Utilizing modern computer architectures to solve mathematical optimization problems: A survey
Computers & Chemical Engineering · 2024
- A Convexication-based Outer-approximation Method for Convex and Nonconvex MINLP
Computer-aided chemical engineering/Computer aided chemical engineering · 2024
- Analysis of Calcium Citrate Salts as Raw Material for Tributyl Citrate Bio-Plasticizer Production: Kinetic Modeling, Process Simulation, and Optimization
Computer-aided chemical engineering/Computer aided chemical engineering · 2024
- A Multilevel Approach for Solving Large-Scale QUBO Problems with Noisy Hybrid Quantum Approximate Optimization
2024
- Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications
arXiv (Cornell University) · 2024
- arXiv (Cornell University)×17
- Computer-aided chemical engineering/Computer aided chemical engineering×4
- Future Generation Computer Systems×1
- IEEE Transactions on Quantum Engineering×1
- Quantum Machine Intelligence×1
- Jinglei Cheng
Computer Science · Purdue University West Lafayette
- Kaifeng Bu
Computer Science · The Ohio State University
- Amandeep Singh Bhatia
Computer Science · Purdue University West Lafayette
- Jie Liu
Computer Science · The Ohio State University
- Manas Sajjan
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile