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Hao Li

Researcher at Hebei University of Technology

Publications -  1698
Citations -  31805

Hao Li is an academic researcher from Hebei University of Technology. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 62, co-authored 1045 publications receiving 17772 citations. Previous affiliations of Hao Li include South China University of Technology & Guangxi Medical University.

Papers
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Artificial intelligence in healthcare: past, present and future

TL;DR: The current status of AI applications in healthcare, in the three major areas of early detection and diagnosis, treatment, as well as outcome prediction and prognosis evaluation, are surveyed and its future is discussed.
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Quantum computational advantage using photons

TL;DR: In this paper, the authors proposed to use quantum computers to perform certain tasks that are believed to be intractable to classical computers, such as Boson sampling, which is considered a strong candidate to demonstrate the capabilities of quantum computers.
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Quantum computational advantage using photons

TL;DR: Gaussian boson sampling was performed by sending 50 indistinguishable single-mode squeezed states into a 100-mode ultralow-loss interferometer with full connectivity and random matrix and sampling the output using 100 high-efficiency single-photon detectors, and the obtained samples were validated against plausible hypotheses exploiting thermal states, distinguishable photons, and uniform distribution.
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Robust axion insulator and Chern insulator phases in a two-dimensional antiferromagnetic topological insulator

TL;DR: This work investigates the quantum transport of both bulk crystal and exfoliated MnBi 2 Te 4 flakes in a field-effect transistor geometry and observes a large longitudinal resistance and zero Hall plateau, which are characteristics of an axion insulator state.
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Dual Single-Atomic Ni-N4 and Fe-N4 Sites Constructing Janus Hollow Graphene for Selective Oxygen Electrocatalysis

TL;DR: The current work paves a new avenue for precise control of single-atom sites on carbon surface for the high-performance and selective electrocatalytic performance of graphene hollow nanospheres.