Real-Part Quantum Support Vector Machines

N Piatkowski, S Mücke - Joint European Conference on Machine Learning …, 2024 - Springer
In recent years, quantum computing has been slowly transitioning from a purely theoretical
branch of computer science to a practical yet highly experimental discipline. Within quantum …

Computing Marginal and Conditional Divergences between Decomposable Models with Applications

LK Lee, GI Webb, DF Schmidt… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The ability to compute the exact divergence between two high-dimensional distributions is
useful in many applications but doing so naively is intractable. Computing the alpha-beta …

Problem-informed Graphical Quantum Generative Learning

B Bakó, DTR Nagy, P Hága, Z Kallus… - arxiv preprint arxiv …, 2024 - arxiv.org
Leveraging the intrinsic probabilistic nature of quantum systems, generative quantum
machine learning (QML) offers the potential to outperform classical learning models. Current …

Quantum AI in Speech Emotion Recognition

M Norval, Z Wang - 2024 - researchsquare.com
This study explores Quantum AI's potential in enhancing Speech Emotion Recognition
(SER) systems. Our primary objective is to evaluate the performance of quantum-inspired …

[PDF][PDF] ML2R Coding Nuggets: Hopfield Nets for Set Cover

C Bauckhage - 2022 - researchgate.net
We once again revisit the minimum set cover problem and show that the underlying integer
linear program can be rewritten as a quadratic unconstrained binary optimization problem …

[PDF][PDF] ML2R Coding Nuggets Hopfield Nets for Subset Sum

C Bauckhage - idea - researchgate.net
This note discusses a QUBO formulation of the subset sum problem. Cast as a QUBO, this
combinatorial problem can be tackled using Hopfield nets. However, as subset sum is NP …