David E. Bernal
Computer Science · Purdue University West Lafayette
Publications
78
Citations
1,297
Est. group size
~1
Recurring co-author estimate
Active years
19
Publishing since 2008
David E. Bernal works on optimization methods and quantum computing, including how to formulate and benchmark optimization problems for both classical and quantum computers (such as quantum annealers and variational quantum algorithms). His work also spans mixed-integer and disjunctive programming for process design in chemical engineering, and he develops open-source software tools (e.g., the JuliaQUBO ecosystem) for encoding and solving optimization problems in these areas.
Publication output has grown over the last decade, rising from a handful of papers per year around 2017-2019 to around 9-11 per year in 2024-2026.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- The Quantum Optimization Benchmarking Library
Nature Computational Science · 2026
- JuliaQUBO/DWaveNeal.jl: v0.5.0
Open MIND · 2026
- JuliaQUBO/DWave.jl: v0.6.0
Zenodo (CERN European Organization for Nuclear Research) · 2026
- JuliaQUBO/DWave.jl: v0.6.1
Zenodo (CERN European Organization for Nuclear Research) · 2026
- JuliaQUBO/DWave.jl: v0.6.2
Zenodo (CERN European Organization for Nuclear Research) · 2026
- JuliaQUBO/PySA.jl: v0.3.3
Zenodo (CERN European Organization for Nuclear Research) · 2026
- JuliaQUBO/DWave.jl: v0.6.3
Zenodo (CERN European Organization for Nuclear Research) · 2026
- JuliaQUBO/QUBOTools.jl: v0.11.0
Zenodo (CERN European Organization for Nuclear Research) · 2026
- JuliaQUBO/MQLib.jl: v0.4.1
Zenodo (CERN European Organization for Nuclear Research) · 2026
- JuliaQUBO/QUBODrivers.jl: v0.3.4
Open MIND · 2026
- A performance comparison of variable encoding techniques for QUIO and QUBO problems
Communications in computer and information science · 2026
- Ground-State Energy Estimation on Current Quantum Hardware through the Variational Quantum Eigensolver: A Practical Study
Journal of Chemical Theory and Computation · 2025
- Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration across Distributed Data Sources
Industrial & Engineering Chemistry Research · 2025
- Benchmarking quantum optimization for the maximum-cut problem on a superconducting quantum computer
Physical Review Applied · 2025
- Logic-Based Discrete-Steepest Descent: A solution method for process synthesis Generalized Disjunctive Programs
Computers & Chemical Engineering · 2025
- Computers & Chemical Engineering×9
- arXiv (Cornell University)×9
- Zenodo (CERN European Organization for Nuclear Research)×7
- Computer-aided chemical engineering/Computer aided chemical engineering×5
- Optimization and Engineering×3
- David E. Bernal Neira
Computer Science · Purdue University West Lafayette
- Jinglei Cheng
Computer Science · Purdue University West Lafayette
- Amandeep Singh Bhatia
Computer Science · Purdue University West Lafayette
- Jie Liu
Computer Science · The Ohio State University
- Kaifeng Bu
Computer Science · The Ohio State University
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