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quant-ph2025
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…
cs.LG2025
On the Impact of Weight Discretization in QUBO-Based SVM Training
Sascha Mücke
Training Support Vector Machines (SVMs) can be formulated as a QUBO problem, enabling the use of quantum annealing for model optimization. In this work, we study how the number of…
quant-ph2025
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…