Feb 15, 2018 · We introduce a quantum variational autoencoder (QVAE): a VAE whose latent generative process is implemented as a quantum Boltzmann machine (QBM).
Quantum Variational AutoEncoder (QVAE): quantum-classical hybrid generative model with latent variables suitable for quantum annealing devices. 1.A classical ...
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Sep 12, 2018 · We introduce a quantum variational autoencoder (QVAE): a VAE whose latent generative process is implemented as a quantum Boltzmann machine (QBM).
Feb 27, 2024 · Our model utilizes regularized mixed states to attain optimal latent representations. It accommodates various divergences for reconstruction and ...
Quantum Variational Autoencoders (QVAE) for Image Generation
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Jul 17, 2024 · For QVAE implementation, we'll design a quantum-inspired autoencoder using TensorFlow and integrate quantum-inspired layers. # Define quantum- ...
Jun 28, 2018 · Our representation is based on variational auto-encoders, a type of generative model in the form of a neural network. We show that this model is ...
The goal of this tutorial is to build an Quantum Autoencoder, a circuit which can compress a quantum state onto a smaller amount of qubits.
An autoencoder (AE) is considered an unsupervised learning model that reconstructs the input signal using a neural network. [5]. AEs are notably known for some ...
A quantum variational autoencoder (QVAE) is introduced: a VAE whose latent generative process is implemented as a quantum Boltzmann machine (QBM), ...