Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Jun-Feng Tang"'
Autor:
Zhibo Hou, Jun-Feng Tang, Jiangwei Shang, Huangjun Zhu, Jian Li, Yuan Yuan, Kang-Da Wu, Guo-Yong Xiang, Chuan-Feng Li, Guang-Can Guo
Publikováno v:
Nature Communications, Vol 9, Iss 1, Pp 1-7 (2018)
Demonstrating the advantage of collective measurements in experiments remains a daunting task. Here the authors introduce a general recipe for performing deterministic collective measurements on two identically prepared qubits based on quantum walks.
Externí odkaz:
https://doaj.org/article/dae27aea4c1745b38c30612695c42d32
Autor:
Zhibo Hou, Jun-Feng Tang, Chang-Jiang Huang, Yun-Feng Huang, Guo-Yong Xiang, Chuan-Feng Li, Guang-Can Guo
Publikováno v:
Physical Review Applied. 19
Autor:
Rui-Qi Zhang, Zhibo Hou, Jun-Feng Tang, Jiangwei Shang, Huangjun Zhu, Guo-Yong Xiang, Chuan-Feng Li, Guang-Can Guo
Publikováno v:
Physical review letters. 128(2)
Verifying the correct functioning of quantum gates is a crucial step towards reliable quantum information processing, but it becomes an overwhelming challenge as the system size grows due to the dimensionality curse. Recent theoretical breakthroughs
Autor:
Zhibo Hou, Hongzhen Chen, Yan Jin, Guang-Can Guo, Guo-Yong Xiang, Haidong Yuan, Jun-Feng Tang, Chuan-Feng Li, Chang-Jiang Huang
Publikováno v:
Physical Review Letters. 126
The Heisenberg scaling, which scales as N^{-1} in terms of the number of particles or T^{-1} in terms of the evolution time, serves as a fundamental limit in quantum metrology. Better scalings, dubbed as "super-Heisenberg scaling," however, can also
Autor:
Kang-Da Wu, Guo-Yong Xiang, Guang-Can Guo, Karen V. Hovhannisyan, Martí Perarnau-Llobet, Elisa Bäumer, Chuan-Feng Li, Jun-Feng Tang
Publikováno v:
Physical Review Letters, 125 (21)
When an observable is measured on an evolving coherent quantum system twice, the first measurement generally alters the statistics of the second one, which is known as measurement back-action. We introduce, and push to its theoretical and experimenta
Autor:
Hongzhen Chen, Guo-Yong Xiang, Haidong Yuan, Guang-Can Guo, Jun-Feng Tang, Zhibo Hou, Chuan-Feng Li
Publikováno v:
Science Advances
Experiments demonstrate very high precisions achieved simultaneously for multiple parameters with noncommuting generators.
Quantum estimation of a single parameter has been studied extensively. Practical applications, however, typically involve
Quantum estimation of a single parameter has been studied extensively. Practical applications, however, typically involve
Autor:
Alexander Streltsov, Jun-Feng Tang, Guang-Can Guo, Guo-Yong Xiang, Zhibo Hou, Yuan Yuan, Chuan-Feng Li
Publikováno v:
npj Quantum Information, Vol 6, Iss 1, Pp 1-5 (2020)
The recently established resource theory of quantum coherence allows for a quantitative understanding of the superposition principle, with applications reaching from quantum computing to quantum biology. While different quantifiers of coherence have
Autor:
Huangjun Zhu, Guang-Can Guo, Guo-Yong Xiang, Chuan-Feng Li, Zhibo Hou, Jiangwei Shang, Jun-Feng Tang
Publikováno v:
Physical Review Letters. 124
Antiparallel spins are superior in orienteering to parallel spins. This intriguing phenomenon is tied to entanglement associated with quantum measurements rather than quantum states. Using photonic systems, we experimentally realize the optimal orien
Autor:
Chuan-Feng Li, Jie Zhu, Chen-Rui Zhang, Guang-Can Guo, Meng-Jun Hu, Zhibo Hou, Guo-Yong Xiang, Yong-Sheng Zhang, Jun-Feng Tang
Publikováno v:
Physical Review A. 101
Wavefunction is the foundation of quantum theory, which is assumed to give a complete description of a quantum system. For a long time, wavefunction is introduced as an abstract element of the theory and there lacks effective ways to measure it direc
Autor:
Chuan-Feng Li, Chang-Jiang Huang, Guang-Can Guo, Guo-Yong Xiang, Hailan Ma, Jun-Feng Tang, Chunlin Chen, Daoyi Dong, Qi Yin
As a ubiquitous aspect of modern information technology, data compression has a wide range of applications. Therefore, a quantum autoencoder which can compress quantum information into a low-dimensional space is fundamentally important to achieve aut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5aed83bd12b649ece3936b9d7a6039db
http://arxiv.org/abs/1903.08699
http://arxiv.org/abs/1903.08699