3 citations · 7 across the 5 of their papers we have counts for
5 papers
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…
Classical and Quantum Distributed Algorithms for the Survivable Network Design Problem
Phillip Kerger, David E. Bernal Neira, Zoe Gonzalez Izquierdo +1
We investigate distributed classical and quantum approaches for the survivable network design problem (SNDP), sometimes called the generalized Steiner problem. These problems gener…
Surrogate optimization of variational quantum circuits
Erik J. Gustafson, Juha Tiihonen, Diana Chamaki +8
Variational quantum eigensolvers are touted as a near-term algorithm capable of impacting many applications. However, the potential has not yet been realized, with few claims of qu…
Benchmarking the Operation of Quantum Heuristics and Ising Machines: Scoring Parameter Setting Strategies on Optimization Applications
David E. Bernal Neira, Robin Brown, Pratik Sathe +4
We discuss guidelines for evaluating the performance of parameterized stochastic solvers for optimization problems, with particular attention to systems that employ novel hardware,…
Accelerating Continuous Variable Coherent Ising Machines via Momentum
Robin Brown, Davide Venturelli, Marco Pavone +1
The Coherent Ising Machine (CIM) is a non-conventional architecture that takes inspiration from physical annealing processes to solve Ising problems heuristically. Its dynamics are…