From the 1 of 5 linked papers with an AI index.
5 papers
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…
Quadratic Continuous Quantum Optimization
Sascha Mücke, Thore Gerlach, Nico Piatkowski
Quantum annealers can solve QUBO problems efficiently but struggle with continuous optimization tasks like regression due to their discrete nature. We introduce Quadratic Continuou…
Dynamic Range Reduction via Branch-and-Bound
Thore Gerlach, Nico Piatkowski
The demand for high-performance computing in machine learning and artificial intelligence has led to the development of specialized hardware accelerators like Tensor Processing Uni…
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…