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Timestamp boson sampling

delete2022-09-23
delete8
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OA
AI
W
Wenhao Zhou
J
Jun Gao
Z
Zhi‐Qiang Jiao
X
Xiaowei Wang
R
Ruo-Jing Ren
X
Xiao-Ling Pang
L
Lu‐Feng Qiao
C
Chao-Ni Zhang
T
Tian-Huai Yang
金
金贤敏 (Xian‐Min Jin) *
DOI:10.1063/5.0066103delete
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摘要

摘要

En 中文
Quantum advantage, benchmarking the computational power of quantum machines outperforming all classical computers in a specific task, represents a crucial milestone in developing quantum computers and has been driving different physical implementations since the concept was proposed. A boson sampling machine, an analog quantum computer that only requires multiphoton interference and single-photon detection, is considered to be a promising candidate to reach this goal. However, the probabilistic nature of photon sources and the inevitable loss in evolution network make the execution time exponentially increasing with the problem size. Here, we propose and experimentally demonstrate a timestamp boson sampling scheme that can effectively reduce the execution time for any problem size. By developing a time-of-flight storage technique with a precision up to picosecond level, we are able to detect and record the complete time information of 30 individual modes out of a large-scale 3D photonic chip. We perform the three-photon injection and one external trigger experiment to demonstrate that the timestamp protocol works properly and effectively reduce the execution time. We further verify that timestamp boson sampler is distinguished from other samplers in the case of limited datasets through the three heralded single photons injection experiment. The timestamp protocol can speed up the sampling process, which can be widely applied in multiphoton experiments at low-sampling rate. The approach associated with newly exploited resource from time information can boost all the count-rate-limited experiments, suggesting an emerging field of timestamp quantum optics.
Keyword:
QUANTUM SUPREMACY
WAVE-GUIDES
GENERATION
COMPLEXITY
WALKS

期刊

Applied Physics Reviews 封面图
Applied Physics Reviews
IF:
11.6
论文数:
1.2K
被引数:
1.3W

机构

S
shanghai jiao tong university
学者数:
15.7W
论文数: 11.7W
被引数: 159
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