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1.
Benchmarking Quantum Convolutional Neural Networks for Classification and Data Compression Tasks / Khoo, Jun Yong (A-STAR, Singapore) ; Gan, Chee Kwan (A-STAR, Singapore) ; Ding, Wenjun (A-STAR, Singapore) ; Carrazza, Stefano (CERN ; Milan U. ; INFN, Milan) ; Ye, Jun (A-STAR, Singapore ; Technol. Innovation Inst., UAE) ; Kong, Jian Feng (A-STAR, Singapore)
Quantum Convolutional Neural Networks (QCNNs) have emerged as promising models for quantum machine learning tasks, including classification and data compression. [...]
arXiv:2411.13468.
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Fulltext
2.
Quantum matter and clock: from emergent phenomena to fundamental physics / Ye, Jun (speaker) (University of Colorado, Boulder)
​​Precise quantum state engineering, many-body physics, and innovative laser technology are revolutionizing the performance of atomic clocks and metrology, providing opportunities to explore emerging phenomena and probe fundamental physics. Recent advances include precise control of many-body interactions to achieve high accuracy, measurement of gravitation time dilation across a few hundred micrometers, and employment of spin squeezing for clock comparison..
2023 - 5479. CERN Colloquium External link: Event details In : Quantum matter and clock: from emergent phenomena to fundamental physics
3.
Precision Measurement Based on Ultracold Atoms and Cold Molecules / Ye, Jun ; Blatt, Sebastian ; Boyd, Martin M ; Foreman, Seth M ; Hudson, Eric R ; Ido, Tetsuya ; Lev, Benjamin ; Ludlow, Andrew D ; Sawyer, Brian C ; Stuhl, Benjamin et al.
2006 - Published in : AIP Conf. Proc.: 869 (2006) , pp. 80-91 External link: Published version from AIP
In : 20th International Conference on Atomic Physics: Quantum Optics and Spectroscopy, Innsbruck, Austria, 16 - 21 Jul 2006, pp.80-91

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