2 citations · 2 across the 4 of their papers we have counts for
5 papers
Hybrid Quantum Branch-and-Bound Method for Quadratic Unconstrained Binary Optimization
Zedong Peng, Daniel de Roux, David E. Bernal Neira
Quantum algorithms have shown promise in solving Quadratic Unconstrained Binary Optimization (QUBO) problems, benefiting from their connection to the transverse field Ising model.…
Addressing Discrete Dynamic Optimization via a Logic-Based Discrete-Steepest Descent Algorithm
Zedong Peng, Albert Lee, David E. Bernal Neira
Dynamic optimization problems involving discrete decisions have several applications, yet lead to challenging optimization problems that must be addressed efficiently. Combining di…
A Convexification-based Outer-Approximation Method for Convex and Nonconvex MINLP
Zedong Peng, Kaiyu Cao, Kevin C. Furman +3
The advancement of domain reduction techniques has significantly enhanced the performance of solvers in mathematical programming. This paper delves into the impact of integrating c…
Measure This, Not That: Optimizing the Cost and Model-Based Information Content of Measurements
Jialu Wang, Zedong Peng, Ryan Hughes +3
Model-based design of experiments (MBDoE) is a powerful framework for selecting and calibrating science-based mathematical models from data. This work extends popular MBDoE workflo…
Benchmarking Quantum Optimization for the Maximum-Cut Problem on a Superconducting Quantum Computer
Maxime Dupont, Bhuvanesh Sundar, Bram Evert +4
Achieving high-quality solutions faster than classical solvers on computationally hard problems is a challenge for quantum optimization to deliver utility. Using a superconducting…