Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dafa Zhao"'
Publikováno v:
New Journal of Physics, Vol 26, Iss 4, p 043011 (2024)
Eigensolvers have a wide range of applications in machine learning. Quantum eigensolvers have been developed for achieving quantum speedup. Here, we propose a parallel quantum eigensolver (PQE) for solving a set of machine learning problems, which is
Externí odkaz:
https://doaj.org/article/4d40bf8548374e508098251a0acde6df
Publikováno v:
Entropy, Vol 25, Iss 1, p 61 (2022)
Solving the eigenproblems of Hermitian matrices is a significant problem in many fields. The quantum resonant transition (QRT) algorithm has been proposed and demonstrated to solve this problem using quantum devices. To better realize the capabilitie
Externí odkaz:
https://doaj.org/article/6a5249824d384079855294e64c0c0f37
Autor:
Liangyu Che, Chao Wei, Yulei Huang, Dafa Zhao, Shunzhong Xue, Xinfang Nie, Jun Li, Dawei Lu, Tao Xin
Publikováno v:
Physical Review Research, Vol 3, Iss 2, p 023246 (2021)
In the Hamiltonian-based quantum dynamics, to estimate Hamiltonians from the measured data is a vital topic. In this work, we propose a recurrent neural network to learn the target Hamiltonians from the temporal records of single-qubit measurements,
Externí odkaz:
https://doaj.org/article/9a8601d438b34efe8c9bca670a43c091
Autor:
Shunzhong Xue, Yulei Huang, Dafa Zhao, Chao Wei, Jun Li, Ying Dong, Jiancun Gao, Dawei Lu, Tao Xin, Gui-Lu Long
Publikováno v:
Science China Physics, Mechanics & Astronomy. 65
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0515486b891d1d8bfe6c1eb4461fa4ad
https://doi.org/10.1007/s11433-022-1904-3
https://doi.org/10.1007/s11433-022-1904-3
Autor:
Dafa Zhao, Shunzhong Xue, Dong Ruan, Jun Li, Dawei Lu, Wen Huang, Tao Xin, Hang Li, Xinfang Nie, Guilu Long
Publikováno v:
Physical Review A. 104
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27537eec04bf6a71d01a83f402829a9e
https://doi.org/10.1103/physreva.104.062615
https://doi.org/10.1103/physreva.104.062615
Autor:
Tao Xin, Jun Li, Yulei Huang, Xinfang Nie, Gui-Lu Long, Chao Wei, Dawei Lu, Shunzhong Xue, Dafa Zhao, Dong Ruan
Publikováno v:
Physical Review A. 103
Developments of quantum techniques have drastically improved the control ability of current quantum processors. Characterizing quantum simulations performed on these processors has become a vital topic in quantum information processing. Traditional c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1707aacd43b1a1c31a7034da7cbf9782
https://doi.org/10.1103/physreva.103.052403
https://doi.org/10.1103/physreva.103.052403
Autor:
Dafa Zhao, Dawei Lu, Tao Xin, Jun Li, Shunzhong Xue, Chao Wei, Liangyu Che, Yulei Huang, Xinfang Nie
It is natural to measure the observables from the Hamiltonian-based quantum dynamics, and its inverse process that Hamiltonians are estimated from the measured data also is a vital topic. In this work, we propose a recurrent neural network to learn t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c1536fa17dbd6079f49a10f9662bd9f
http://arxiv.org/abs/2012.12520
http://arxiv.org/abs/2012.12520
