activity
20172023
most citedReadiness of Quantum Optimization Machines for Industrial Applications

45 citations · 48 across the 7 of their papers we have counts for

collaborators

7 papers

math.OC2023★ 1 cited

AI Enhanced Control Engineering Methods

Ion Matei, Raj Minhas, Johan de Kleer +1

AI and machine learning based approaches are becoming ubiquitous in almost all engineering fields. Control engineering cannot escape this trend. In this paper, we explore how AI to…

cs.AI2023★ 1 cited

Learning to Operate in Open Worlds by Adapting Planning Models

Wiktor Piotrowski, Roni Stern, Yoni Sher +4

Planning agents are ill-equipped to act in novel situations in which their domain model no longer accurately represents the world. We introduce an approach for such agents operatin…

math.OC2023

An optimization-based approach to automated design

Ion Matei, Maksym Zhenirovskyy, John Maxwell +1

We propose a model-based, automated, bottom-up approach for design, which is applicable to various physical domains, but in this work we focus on the electrical domain. This bottom…

cs.AI2022

System Resilience through Health Monitoring and Reconfiguration

Ion Matei, Wiktor Piotrowski, Alexandre Perez +4

We demonstrate an end-to-end framework to improve the resilience of man-made systems to unforeseen events. The framework is based on a physics-based digital twin model and three mo…

cs.LG2022

Improving the Efficiency of Gradient Descent Algorithms Applied to Optimization Problems with Dynamical Constraints

Ion Matei, Maksym Zhenirovskyy, Johan de Kleer +1

We introduce two block coordinate descent algorithms for solving optimization problems with ordinary differential equations (ODEs) as dynamical constraints. The algorithms do not n…

cs.AI2021★ 1 cited

Playing Angry Birds with a Domain-Independent PDDL+ Planner

Wiktor Piotrowski, Roni Stern, Matthew Klenk +4

This demo paper presents the first system for playing the popular Angry Birds game using a domain-independent planner. Our system models Angry Birds levels using PDDL+, a planning…

quant-ph2017★ 45 cited

Readiness of Quantum Optimization Machines for Industrial Applications

Alejandro Perdomo-Ortiz, Alexander Feldman, Asier Ozaeta +9

There have been multiple attempts to demonstrate that quantum annealing and, in particular, quantum annealing on quantum annealing machines, has the potential to outperform current…