no code implementations • 27 Feb 2024 • Hong-Ye Hu, Andi Gu, Swarnadeep Majumder, Hang Ren, Yipei Zhang, Derek S. Wang, Yi-Zhuang You, Zlatko Minev, Susanne F. Yelin, Alireza Seif
This combined theoretical and experimental analysis positions the robust shallow shadow protocol as a scalable, robust, and sample-efficient protocol for characterizing quantum states on current quantum computing platforms.
no code implementations • 6 Dec 2023 • Weitang Liu, Ying Wai Li, Tianle Wang, Yi-Zhuang You, Jingbo Shang
We propose a novel model-centric evaluation framework, OmniInput, to evaluate the quality of an AI/ML model's predictions on all possible inputs (including human-unrecognizable ones), which is crucial for AI safety and reliability.
no code implementations • 8 Nov 2023 • Wanda Hou, Li Miao, Yi-Zhuang You
Generative models are a class of machine learning models that aim to learn the underlying probability distribution of data.
1 code implementation • 12 Oct 2023 • Ruyi Tao, Ningning Tao, Yi-Zhuang You, Jiang Zhang
For deterministic dynamics, our framework can discern whether the dynamics are self-similar.
no code implementations • 19 Feb 2023 • Weitang Liu, Ying-Wai Li, Yi-Zhuang You, Jingbo Shang
We first draw the connection between the output distribution of a NN and the density of states (DOS) of a physical system.
no code implementations • 19 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.
no code implementations • 11 Feb 2021 • Meng Zeng, Lun-Hui Hu, Hong-Ye Hu, Yi-Zhuang You, Congjun Wu
The phase locking, i. e., ordering of $\theta_-$, can take place in the phase fluctuation regime before the onset of superconductivity, i. e. when $\theta_+$ is disordered.
Superconductivity Strongly Correlated Electrons
1 code implementation • 30 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.
no code implementations • 26 Sep 2019 • Huitao Shen, Pengfei Zhang, Yi-Zhuang You, Hui Zhai
In this Letter, we show that this process can also be viewed from the opposite direction: the quantum information in the output qubits is scrambled into the input.
no code implementations • 30 Jan 2019 • Ce Wang, Hui Zhai, Yi-Zhuang You
Can physical concepts and laws emerge in a neural network as it learns to predict the observation data of physical systems?
Disordered Systems and Neural Networks Quantum Physics
1 code implementation • 13 Nov 2016 • Kevin Slagle, Zhen Bi, Yi-Zhuang You, Cenke Xu
We show that the out-of-time-order correlation (OTOC) $ \langle W(t)^\dagger V(0)^\dagger W(t)V(0)\rangle$ in many-body localized (MBL) and marginal MBL systems can be efficiently calculated by the spectrum bifurcation renormalization group (SBRG).
Strongly Correlated Electrons Disordered Systems and Neural Networks
1 code implementation • 14 Apr 2016 • Kevin Slagle, Yi-Zhuang You, Cenke Xu
We argue that, with sufficiently strong disorder, these spin glass phases are separated by marginally many-body localized (MBL) critical lines.
Strongly Correlated Electrons Disordered Systems and Neural Networks
1 code implementation • 14 Aug 2015 • Yi-Zhuang You, Xiao-Liang Qi, Cenke Xu
We introduce the spectrum bifurcation renormalization group (SBRG) as a generalization of the real-space renormalization group for the many-body localized (MBL) system without truncating the Hilbert space.
Strongly Correlated Electrons Disordered Systems and Neural Networks Quantum Physics