Name: David Bernal
Type: User
Company: Purdue University
Bio: PI @SECQUOIA
Assist. Prof, ChemEng @ Purdue
Visiting Assoc. Scientist @usra-riacs
Visiting Scientist, Quantum Artificial Intelligence Lab @nasa
Location: West Lafayette, IN, USA
Blog: https://bernalde.github.io/
David Bernal's Projects
This repository contains the final project of the Quantum Computing Lab at CMU (11-860) for the spring 2020. The project topic is Quantum Approximate Optimization Algorithm and Quantum Annealing for Combinatorial Optimization
Tarea 8. David Bernal, Juan Felipe Mendez
Website David Bernal
Final project for 15-701 class on training a Neural Network to learn which reformulation is better for a linear GDP, Convex Hull or Big-M
A template for a gh-pages hosted syllabus
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
Material Completo herramientas computacionales 2014-20
Material Completo laboratorio metodos computacionales 2014-20
Material Completo metodos computacionales 2014-20
minorminer is a heuristic tool for minor embedding: given a minor and target graph, it tries to find a mapping that embeds the minor into the target.
Test repository new installation
A repository of Pyomo examples.
This repository includes the files of the manuscript Optimal design of superstructures for placing units and streams with multiple and ordered available locations. Part II: Rigorous design of catalytic distillation columns
This repository includes the files of the manuscript Optimal design of superstructures for placing units and streams with multiple and ordered available locations. Part I: A new mathematical framework
Repository for "semillero" experiment of Optimization in Chemical Engineering (Ingeniería Química)
The main repository for the Pyomo optimization modeling software.
Benchmarking script for MindtPy solvers in the pyomo framework solving MINLP instance. This was created as part of my bachelor thesis during my stay at Carnegie Mellon University in Professor Ignacio Grossmanns group.
Samples for using optimization solvers through Azure Quantum.
Quantum Integer Programming Syllabus
Quantum Integer Programming and Machine Learning Course Website. 18-819F 47-779/785 CMU Fall 2021
Quantum Integer Programming and Machine Learning Course Website. 18-819F 47-779/785 CMU Fall 2021
Repository for Stochastic Optimization Solvers Benchmark code
Tarea 2 Métodos Computacionales Avanzados. David Bernal, Juan Diego Arango.