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Yi-Kai Liu
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C. Shen
,
Heeres, R. W.
,
Reinhold, P.
,
Jiang, L.
,
Liu, Y. - K.
,
Schoelkopf, R. J.
, and
Jiang, L.
,
“
Optimized tomography of continuous variable systems using excitation counting
”
,
Physical Review A
, vol. 94, p. 052327, 2016.
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N
Y. - K. Liu
,
Christandl, M.
, and
Verstraete, F.
,
“
N-representability is QMA-complete
”
,
Phys. Rev. Lett.
, vol. 98, no. 11, 2007.
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M
J. M. Conroy
,
Davis, S. T.
,
Kubina, J.
,
Liu, Y. - K.
,
O'Leary, D. P.
, and
Schlesinger, J. D.
,
“
Multilingual Summarization: Dimensionality Reduction and a Step Towards Optimal Term Coverage
”
,
MultiLing (Workshop on Multilingual Multi-document Summarization)
, pp. 55-63, 2013.
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L
Y. - K. Liu
,
“
The Local Consistency Problem for Stoquastic and 1-D Quantum Systems
”
, 2007.
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G
Y. - K. Liu
,
“
Gibbs States and the Consistency of Local Density Matrices
”
, 2006.
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E
V. Dunjko
,
Liu, Y. - K.
,
Wu, X.
, and
Taylor, J. M.
,
“
Exponential improvements for quantum-accessible reinforcement learning
”
, 2017.
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P. Bierhorst
,
Knill, E.
,
Glancy, S.
,
Zhang, Y.
,
Mink, A.
,
Jordan, S.
,
Rommal, A.
,
Liu, Y. - K.
,
Christensen, B.
,
Nam, S. Woo
,
Stevens, M. J.
, and
Shalm, L. K.
,
“
Experimentally Generated Randomness Certified by the Impossibility of Superluminal Signals
”
,
Nature
, vol. 556, pp. 223-226, 2018.
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P. Bierhorst
,
Knill, E.
,
Glancy, S.
,
Mink, A.
,
Jordan, S. P.
,
Rommal, A.
,
Liu, Y. - K.
,
Christensen, B.
,
Nam, S. Woo
, and
Shalm, L. K.
,
“
Experimentally Generated Random Numbers Certified by the Impossibility of Superluminal Signaling
”
, 2017.
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Z. Liu
,
Devulapalli, D.
,
Hangleiter, D.
,
Liu, Y. - K.
,
Kollár, A. J.
,
Gorshkov, A. V.
, and
Childs, A. M.
,
“
Efficiently verifiable quantum advantage on near-term analog quantum simulators
”
, 2024.
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M. Cramer
,
Plenio, M. B.
,
Flammia, S. T.
,
Gross, D.
,
Bartlett, S. D.
,
Somma, R.
,
Landon-Cardinal, O.
,
Liu, Y. - K.
, and
Poulin, D.
,
“
Efficient quantum state tomography
”
,
Nature Communications
, vol. 1, no. 9, p. 149, 2010.
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O. Landon-Cardinal
,
Liu, Y. - K.
, and
Poulin, D.
,
“
Efficient Direct Tomography for Matrix Product States
”
, 2010.
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D
S. T. Flammia
and
Liu, Y. - K.
,
“
Direct Fidelity Estimation from Few Pauli Measurements
”
,
Physical Review Letters
, vol. 106, no. 23, 2011.
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A. Blanc
,
Liu, Y. - K.
, and
Vahda, A.
,
“
Designing Incentives for Peer-to-Peer Routing
”
,
Proc. INFOCOM
, pp. 374-385, 2005.
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C
M. Ohliger
,
Nesme, V.
,
Gross, D.
,
Liu, Y. - K.
, and
Eisert, J.
,
“
Continuous-variable quantum compressed sensing
”
, 2011.
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Y. - K. Liu
,
“
Consistency of Local Density Matrices is QMA-complete
”
,
Proc. RANDOM
, pp. 438-449, 2006.
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A. Seif
,
Hafezi, M.
, and
Liu, Y. - K.
,
“
Compressed Sensing Measurement of Long-Range Correlated Noise
”
, 2021.
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Y. - K. Liu
,
“
The Complexity of the Consistency and N-representability Problems for Quantum States
”
, 2007.
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T. L. Scholten
,
Liu, Y. - K.
,
Young, K.
, and
Blume-Kohout, R.
,
“
Classifying single-qubit noise using machine learning
”
, 2019.
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B
Y. - K. Liu
,
“
Building one-time memories from isolated qubits
”
,
Innovations in Theoretical Computer Science (ITCS)
, pp. 269-286, 2013.
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Y. - K. Liu
,
Lyubashevsky, V.
, and
Micciancio, D.
,
“
On Bounded Distance Decoding for General Lattices
”
,
Proc. RANDOM
, pp. 450-461, 2006.
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