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pro vyhledávání: '"Chen, Jielun"'
Tensor network contraction is a powerful computational tool in quantum many-body physics, quantum information and quantum chemistry. The complexity of contracting a tensor network is thought to mainly depend on its entanglement properties, as reflect
Externí odkaz:
http://arxiv.org/abs/2410.05414
We investigate how the computational difficulty of contracting tensor networks depends on the sign structure of the tensor entries. Using results from computational complexity, we observe that the approximate contraction of tensor networks with only
Externí odkaz:
http://arxiv.org/abs/2404.19023
Autor:
Chen, Jielun, Lindsey, Michael
The quantum Fourier transform (QFT), which can be viewed as a reindexing of the discrete Fourier transform (DFT), has been shown to be compressible as a low-rank matrix product operator (MPO) or quantized tensor train (QTT) operator. However, the ori
Externí odkaz:
http://arxiv.org/abs/2404.03182
Publikováno v:
PRX Quantum 4, 040318 (2023)
The Quantum Fourier Transform (QFT) is a key component of many important quantum algorithms, most famously as being the essential ingredient in Shor's algorithm for factoring products of primes. Given its remarkable capability, one would think it can
Externí odkaz:
http://arxiv.org/abs/2210.08468
Publikováno v:
Phys. Rev. B 105, 245138 (2022)
We present conditional probability (CP) density functional theory (DFT) as a formally exact theory. In essence, CP-DFT determines the ground-state energy of a system by finding the CP density from a series of independent Kohn-Sham (KS) DFT calculatio
Externí odkaz:
http://arxiv.org/abs/2203.09647
Kohn-Sham regularizer (KSR) is a differentiable machine learning approach to finding the exchange-correlation functional in Kohn-Sham density functional theory (DFT) that works for strongly correlated systems. Here we test KSR for weak correlation. W
Externí odkaz:
http://arxiv.org/abs/2110.14846
Autor:
Chen, JieLun, 陳婕倫
100
The purpose of this study aims to discuss the effects of environment education by STS teaching on students, environmental hormone knowledge, and attitude in learning. Two groups of students from the fourth grade of Yongjing elamentary scho
The purpose of this study aims to discuss the effects of environment education by STS teaching on students, environmental hormone knowledge, and attitude in learning. Two groups of students from the fourth grade of Yongjing elamentary scho
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/55688266602629964008
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The Quantum Fourier Transform (QFT) is a key component of many important quantum algorithms, most famously as being the essential ingredient in Shor's algorithm for factoring products of primes. Given its remarkable capability, one would think it can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b7a793289c12e71b293d195015d8dfdc
http://arxiv.org/abs/2210.08468
http://arxiv.org/abs/2210.08468