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Xingyao Wu
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Journal Article
V. Dunjko
,
Liu, Y. - K.
,
Wu, X.
, and
Taylor, J. M.
,
“
Super-polynomial and exponential improvements for quantum-enhanced reinforcement learning
”
, 2017.
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J. P. Zwolak
,
Kalantre, S. S.
,
Wu, X.
,
Ragole, S.
, and
Taylor, J. M.
,
“
QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments
”
,
PLOS ONE
, vol. 13, no. 10, p. e0205844, 2018.
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X. Wu
and
Chen, J.
,
“
Multiparty quantum data hiding with enhanced security and remote deletion
”
, p. 5, 2018.
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S. S. Kalantre
,
Zwolak, J. P.
,
Ragole, S.
,
Wu, X.
,
Zimmerman, N. M.
,
Stewart, M. D.
, and
Taylor, J. M.
,
“
Machine Learning techniques for state recognition and auto-tuning in quantum dots
”
, 2017.
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K. Tong Goh
,
Kaniewski, J.
,
Wolfe, E.
,
Vértesi, T.
,
Wu, X.
,
Cai, Y.
,
Liang, Y. - C.
, and
Scarani, V.
,
“
Geometry of the quantum set of correlations
”
,
Physical Review A
, vol. 97, no. 2, p. 022104, 2018.
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V. Dunjko
,
Liu, Y. - K.
,
Wu, X.
, and
Taylor, J. M.
,
“
Exponential improvements for quantum-accessible reinforcement learning
”
, 2017.
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