Quantum-probabilistic Hamiltonian learning for generative modelling &
anomaly detection

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Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection

7 November 2022

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Papers citing "Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection"

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Title
TRANSIT your events into a new mass: Fast background interpolation for weakly-supervised anomaly searches Ivan Oleksiyuk Svyatoslav Voloshynovskiy Tobias Golling DiffM 82 0 0 06 Mar 2025
Running the Dual-PQC GAN on noisy simulators and real quantum hardware Su Yeon Chang Edwin Agnew E. Combarro Michele Grossi Steven Herbert S. Vallecorsa 38 7 0 30 May 2022
A Quantum Generative Adversarial Network for distributions Amine Assouel A. Jacquier A. Kondratyev GNN GAN OOD 85 17 0 04 Oct 2021
Sample-efficient learning of quantum many-body systems Anurag Anshu Srinivasan Arunachalam Tomotaka Kuwahara Mehdi Soleimanifar 62 121 0 15 Apr 2020
Quantum Hamiltonian-Based Models and the Variational Quantum Thermalizer Algorithm Guillaume Verdon Jacob A. Marks Sasha Nanda Stefan Leichenauer Jack Hidary DRL 51 99 0 04 Oct 2019
Towards Quantum Machine Learning with Tensor Networks W. Huggins P. Patil K. B. Whaley E. Stoudenmire 115 346 0 30 Mar 2018
TensorFlow Distributions Joshua V. Dillon I. Langmore Dustin Tran E. Brevdo Srinivas Vasudevan David A. Moore Brian Patton Alexander A. Alemi Matt Hoffman Rif A. Saurous GP 104 352 0 28 Nov 2017