G
Guang-Can Guo
Researcher at University of Science and Technology of China
Publications - 545
Citations - 15193
Guang-Can Guo is an academic researcher from University of Science and Technology of China. The author has contributed to research in topics: Quantum entanglement & Qubit. The author has an hindex of 53, co-authored 545 publications receiving 11582 citations. Previous affiliations of Guang-Can Guo include Center for Excellence in Education & Chinese Academy of Sciences.
Papers
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Experimental implementation of fully controlled dephasing dynamics and synthetic spectral densities
Zhao-Di Liu,Henri Lyyra,Yong Nan Sun,Bi-Heng Liu,Chuan-Feng Li,Guang-Can Guo,Sabrina Maniscalco,Sabrina Maniscalco,Jyrki Piilo +8 more
TL;DR: In this article, the authors demonstrate full experimental control of dephasing allowing them to implement arbitrary decoherence dynamics of a qubit coupled to an Ising chain in a transverse field and also demonstrate a non-positive dynamical map.
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Quantum Neural Network States: A Brief Review of Methods and Applications
TL;DR: In this paper, the authors review the progress of using the artificial neural network to build quantum many-body ansatz states, and illustrate how to use neural networks to represent quantum states and density operators.
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Detecting orbital angular momentum through division-of-amplitude interference with a circular plasmonic lens
Aiping Liu,Xiao Xiong,Xi-Feng Ren,Yong-Jing Cai,Guanghao Rui,Qiwen Zhan,Guang-Can Guo,Guo-Ping Guo +7 more
TL;DR: In this paper, a novel detection scheme for the orbital angular momentum (OAM) of light using circular plasmonic lens is presented, which is validated experimentally and numerically.
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Experimental demonstration of phase measurement precision beating standard quantum limit by projection measurement
TL;DR: In this paper, a projection scheme was proposed to measure the quantum phase with a precision approaching the standard quantum limit, achieving a phase uncertainty of 0.291±0.001 for a four-photon state from type-II parametric downconversion.
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Efficient superdense coding in the presence of non-Markovian noise
Bi-Heng Liu,Xiao-Min Hu,Yun-Feng Huang,Chuan-Feng Li,Guang-Can Guo,Antti Karlsson,Elsi-Mari Laine,Sabrina Maniscalco,Chiara Macchiavello,Jyrki Piilo +9 more
TL;DR: In this paper, a super-dense coding scheme with noise was proposed, where the decrease of entanglement in Alice's encoding state does not reduce the efficiency of the information transmission.