Publications

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Author Title [ Type(Asc)] Year
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Journal Article
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.
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.
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.
O. Landon-Cardinal, Liu, Y. - K., and Poulin, D., Efficient Direct Tomography for Matrix Product States, 2010.
S. T. Flammia and Liu, Y. - K., Direct Fidelity Estimation from Few Pauli Measurements, Physical Review Letters, vol. 106, no. 23, 2011.
A. Blanc, Liu, Y. - K., and Vahda, A., Designing Incentives for Peer-to-Peer Routing, Proc. INFOCOM, pp. 374-385, 2005.
M. Ohliger, Nesme, V., Gross, D., Liu, Y. - K., and Eisert, J., Continuous-variable quantum compressed sensing, 2011.
Y. - K. Liu, Consistency of Local Density Matrices is QMA-complete, Proc. RANDOM , pp. 438-449, 2006.
Y. - K. Liu, The Complexity of the Consistency and N-representability Problems for Quantum States, 2007.
T. L. Scholten, Liu, Y. - K., Young, K., and Blume-Kohout, R., Classifying single-qubit noise using machine learning, 2019.
Y. - K. Liu, Building one-time memories from isolated qubits, Innovations in Theoretical Computer Science (ITCS), pp. 269-286, 2013.
Y. - K. Liu, Lyubashevsky, V., and Micciancio, D., On Bounded Distance Decoding for General Lattices, Proc. RANDOM, pp. 450-461, 2006.