Nov 8, 2023 · In this study, we generalize the embedding method into trainable quantum measurement operators that can be simultaneously honed with MPS.
Jan 25, 2024 · (Dated: January 21, 2024). Generative models are a class of machine learning models that aim to learn the underlying prob-.
Quantum Generative Modeling of Sequential Data with Trainable Token Embedding ... Generative models are a class of machine learning models that aim to learn the ...
Co-authors ; Quantum Generative Modeling of Sequential Data with Trainable Token Embedding. W Hou, M Li, YZ You. arXiv preprint arXiv:2311.05050, 2023. 2, 2023.
Wanda Hou's 6 research works with 2 citations, including: Quantum Generative Modeling of Sequential Data with Trainable Token Embedding.
Apr 26, 2024 · This paper surveys the state of this area, showing how NLP-related techniques have been used in quantum language processing. We examine the art ...
We train a generative language model on the randomized local measurement data collected from Schrödinger's cat quantum state.
生成模型是一类机器学习模型，旨在学习数据的潜在概率分布。与判别模型不同，生成模型专注于捕捉数据的内在结构，使其能够生成类似于原始数据的新样本。
Sep 12, 2024 · Quantum generative modeling (QGM) aims to exploit trainable circuits that can prepare distributions as quantum states, for instance, trying to ...
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Nov 8, 2023 · 生成模型是一类机器学习模型，旨在学习数据的潜在概率分布。与判别模型不同，生成模型专注于捕捉数据的内在结构，使其能够生成类似于原始数据的新样本。