Variational quantum generative modeling by sampling expectation values of tunable observables
Sign Up to like & getrecommendations! Published in 2025 at "Npj Quantum Information"
DOI: 10.1038/s41534-025-01121-x
Abstract: Expectation Value Samplers (EVSs) are quantum generative models that can learn high-dimensional continuous distributions by measuring the expectation values of parameterized quantum circuits. However, these models can demand impractical quantum resources for good performance. We… read more here.
Keywords: expectation values; variational quantum; quantum generative; generative modeling ... See more keywords
Survey of Quantum Generative Adversarial Networks (QGAN) to Generate Images
Sign Up to like & getrecommendations! Published in 2024 at "Mathematics"
DOI: 10.3390/math12233852
Abstract: Quantum Generative Adversarial Networks (QGANs) represent a useful development in quantum machine learning, using the particular properties of quantum mechanics to solve the challenges of data analysis and modeling. This paper brings up a general… read more here.
Keywords: adversarial networks; generative adversarial; quantum generative; quantum gan ... See more keywords
Recent Advances for Quantum Neural Networks in Generative Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.48550/arxiv.2206.03066
Abstract: Quantum computers are next-generation devices that hold promise to perform calculations beyond the reach of classical computers. A leading method towards achieving this goal is through quantum machine learning, especially quantum generative learning. Due to… read more here.
Keywords: generative learning; quantum; physics; machine learning ... See more keywords