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Generative Invertible Quantum Neural Networks
Feb. 23, 2024, 5:43 a.m. | Armand Rousselot, Michael Spannowsky
cs.LG updates on arXiv.org arxiv.org
Abstract: Invertible Neural Networks (INN) have become established tools for the simulation and generation of highly complex data. We propose a quantum-gate algorithm for a Quantum Invertible Neural Network (QINN) and apply it to the LHC data of jet-associated production of a Z-boson that decays into leptons, a standard candle process for particle collider precision measurements. We compare the QINN's performance for different loss functions and training scenarios. For this task, we find that a hybrid …
abstract algorithm apply arxiv become cs.ai cs.lg data gate generative hep-ph network networks neural network neural networks process production quant-ph quantum quantum neural networks simulation standard the simulation tools type
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