Search Results for author: Hong-Ye Hu

Found 5 papers, 2 papers with code

Discovery of Optimal Quantum Error Correcting Codes via Reinforcement Learning

no code implementations10 May 2023 Vincent Paul Su, ChunJun Cao, Hong-Ye Hu, Yariv Yanay, Charles Tahan, Brian Swingle

Lastly, we comment on how this RL framework can be used in conjunction with physical quantum devices to tailor a code without explicit characterization of the noise model.

reinforcement-learning Reinforcement Learning (RL)

Differentiable Programming of Isometric Tensor Networks

1 code implementation8 Oct 2021 Chenhua Geng, Hong-Ye Hu, Yijian Zou

Differentiable programming is a new programming paradigm which enables large scale optimization through automatic calculation of gradients also known as auto-differentiation.

Tensor Networks

Hamiltonian-Driven Shadow Tomography of Quantum States

no code implementations19 Feb 2021 Hong-Ye Hu, Yi-Zhuang You

It relies on a unitary channel that efficiently scrambles the quantum information of the state to the measurement basis.

Phase-fluctuation Induced Time-Reversal Symmetry Breaking Normal State

no code implementations11 Feb 2021 Meng Zeng, Lun-Hui Hu, Hong-Ye Hu, Yi-Zhuang You, Congjun Wu

The phase locking can take place even in the normal state in the phase fluctuation regime before the onset of superconductivity.

Superconductivity Strongly Correlated Electrons

RG-Flow: A hierarchical and explainable flow model based on renormalization group and sparse prior

1 code implementation30 Sep 2020 Hong-Ye Hu, Dian Wu, Yi-Zhuang You, Bruno Olshausen, Yubei Chen

In this work, we incorporate the key ideas of renormalization group (RG) and sparse prior distribution to design a hierarchical flow-based generative model, RG-Flow, which can separate information at different scales of images and extract disentangled representations at each scale.

Disentanglement Image Inpainting +2

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