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of 174
pro vyhledávání: '"ZHOU Peng-fei"'
Neural network (NN) designed for challenging machine learning tasks is in general a highly nonlinear mapping that contains massive variational parameters. High complexity of NN, if unbounded or unconstrained, might unpredictably cause severe issues i
Externí odkaz:
http://arxiv.org/abs/2305.06058
Publikováno v:
Phys. Rev. Lett. 131, 020403 (2023)
Efficient methods to access the entanglement of a quantum many-body state, where the complexity generally scales exponentially with the system size $N$, have long a concern. Here we propose the Schmidt tensor network state (Schmidt TNS) that efficien
Externí odkaz:
http://arxiv.org/abs/2210.08166
Publikováno v:
Phys. Rev. Research 5, 023096 (2023)
The quantum instruction set (QIS) is defined as the quantum gates that are physically realizable by controlling the qubits in quantum hardware. Compiling quantum circuits into the product of the gates in a properly defined QIS is a fundamental step i
Externí odkaz:
http://arxiv.org/abs/2203.15574
Publikováno v:
SciPost Phys. Core 4, 022 (2021)
The hybridizations of machine learning and quantum physics have caused essential impacts to the methodology in both fields. Inspired by quantum potential neural network, we here propose to solve the potential in the Schrodinger equation provided the
Externí odkaz:
http://arxiv.org/abs/2106.03126
State preparation is of fundamental importance in quantum physics, which can be realized by constructing the quantum circuit as a unitary that transforms the initial state to the target, or implementing a quantum control protocol to evolve to the tar
Externí odkaz:
http://arxiv.org/abs/2106.01779
Publikováno v:
Phys. Rev. A 104, 042601 (2021)
Constructing quantum circuits for efficient state preparation belongs to the central topics in the field of quantum information and computation. As the number of qubits grows fast, methods to derive large-scale quantum circuits are strongly desired.
Externí odkaz:
http://arxiv.org/abs/2104.14949
Akademický článek
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Publikováno v:
Cailiao gongcheng, Vol 46, Iss 3, Pp 22-27 (2018)
The equal molar AlCoCrFeNi high entropy alloys with 5% (volume fraction) TiB2 particles reinforcement were fabricated by spark plasma sintering (SPS). Effect of SPS temperature and pressure on microstructure evolution and mechanical properties of TiB
Externí odkaz:
https://doaj.org/article/cb926a10f43449608557053917930958
Akademický článek
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Autor:
Yue, Cheng-Yang, Lei, Xiao-Wu, Tian, Ya-Wei, Xu, Jing, Bai, Yi-Qun, Wang, Fei, Zhou, Peng-Fei, Liu, Xiao-Fan, Yi, Fei-Yan
Publikováno v:
In Journal of Solid State Chemistry March 2016 235:183-192