Denoising quantum states with Quantum Autoencoders -- Theory and Applications
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Abstract (arXiv)
We implement a Quantum Autoencoder (QAE) as a quantum circuit capable of correcting Greenberger-Horne-Zeilinger (GHZ) states subject to various noisy quantum channels : the bit-flip channel and the more general quantum depolarizing channel. The QAE shows particularly interesting results, as it enables to perform an almost perfect reconstruction of noisy states, but can also, more surprisingly, act as a generative model to create noise-free GHZ states. Finally, we detail a useful application of QAEs : Quantum Secret Sharing (QSS). We analyze how noise corrupts QSS, causing it to fail, and show how the QAE allows the QSS protocol to succeed even in the presence of noise.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Dec 2020.
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Citing papers per year: 2022: 2; 2023: 4; 2024: 0; 2025: 2.
8 papers.
- 2022Recent Advances for Quantum Neural Networks in Generative Learningcited by 39
- 2022Performance analysis of coreset selection for quantum implementation of K-Means clustering algorithmcited by 5
- 20233D-QAE: Fully Quantum Auto-Encoding of 3D Point Cloudscited by 5
- 2023Variational Denoising for Variational Quantum Eigensolvercited by 4
- 2025Quantum Generative Adversarial Autoencoders: Learning latent representations for quantum data generationcited by 3
- 2023Learning Quantum Processes with Memory -- Quantum Recurrent Neural Networkscited by 1
- 2023Error mitigation of entangled states using brainbox quantum autoencoderscited by 1
- 2025Neural Architecture Search Algorithms for Quantum Autoencoderscited by 1
- 2025Quantum Generative Adversarial Autoencoders: Learning latent representations for quantum data generation19 Sep 2025
- 2025Neural Architecture Search Algorithms for Quantum Autoencoders18 Sep 2025
- 20233D-QAE: Fully Quantum Auto-Encoding of 3D Point Clouds9 Nov 2023
- 2023Variational Denoising for Variational Quantum Eigensolver2 Apr 2023
- 2023Error mitigation of entangled states using brainbox quantum autoencoders2 Mar 2023
- 2023Learning Quantum Processes with Memory -- Quantum Recurrent Neural Networks19 Jan 2023
- 2022Performance analysis of coreset selection for quantum implementation of K-Means clustering algorithm16 Jun 2022
- 2022Recent Advances for Quantum Neural Networks in Generative Learning7 Jun 2022