From the 2 of 6 linked papers with an AI index.
6 papers
High-Order Markov Blanket Discovery via a k-Order Relaxation of the Faithfulness Assumption
Loong Kuan Lee, Ragavi Krishnamoorthy, Nico Piatkowski
The paper introduces a k-order relaxation of the faithfulness assumption to handle parity-type dependencies and presents the k-order Markov blanket (kOMB) algorithm for discovering…
Hardware-Aware QUBO Reformulation of Constrained Binary Optimization via the Walsh-Fourier Transform
Loong Kuan Lee, Harsha Nagarajan, Thore Gerlach +3
The paper proposes a slack‑free, penalty‑based method that reformulates constrained binary optimization problems into QUBO form using a Walsh‑Fourier projection that respects the c…
Standardization of Multi-Objective QUBOs
Loong Kuan Lee, Thore Gerlach, Nico Piatkowski
Multi-objective optimization involving Quadratic Unconstrained Binary Optimization (QUBO) problems arises in various domains. A fundamental challenge in this context is the effecti…
Multi-Objective Quantum Power System Redispatch
Loong Kuan Lee, Johannes Knaute, Florian Gerhardt +4
The rising energy production costs and the increasing reliance on volatile renewable sources have driven the need for more efficient power system redispatch strategies. In this wor…
Hybrid Quantum-Classical Multi-Agent Pathfinding
Thore Gerlach, Loong Kuan Lee, Frédéric Barbaresco +1
Multi-Agent Path Finding (MAPF) focuses on determining conflict-free paths for multiple agents navigating through a shared space to reach specified goal locations. This problem bec…
Quantum Adiabatic Generation of Human-Like Passwords
Sascha Mücke, Raoul Heese, Thore Gerlach +3
Generative Artificial Intelligence (GenAI) for Natural Language Processing (NLP) is the predominant AI technology to date. An important perspective for Quantum Computing (QC) is th…