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Publications

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Author Title Type [ Year(Asc)]
Filters: Author is Yi-Kai Liu  [Clear All Filters]
2023
K. Huang, Farfurnik, D., Seif, A., Hafezi, M., and Liu, Y. - K., “Random Pulse Sequences for Qubit Noise Spectroscopy”, 2023.
2021
A. Seif, Hafezi, M., and Liu, Y. - K., “Compressed Sensing Measurement of Long-Range Correlated Noise”, 2021.
2020
G. Alagic, Alperin-Sheriff, J., Apon, D., Cooper, D., Dang, Q., Kelsey, J., Liu, Y. - K., Miller, C., Moody, D., Peralta, R., Perlner, R., Robinson, A., and Smith-Tone, D., “Status Report on the Second Round of the NIST Post-Quantum Cryptography Standardization Process”, NISTIR 8309, 2020.
2019
T. L. Scholten, Liu, Y. - K., Young, K., and Blume-Kohout, R., “Classifying single-qubit noise using machine learning”, 2019.
G. Alagic, Alperin-Sheriff, J., Apon, D., Cooper, D., Dang, Q., Miller, C., Moody, D., Peralta, R., Perlner, R., Robinson, A., Smith-Tone, D., and Liu, Y. - K., “Status Report on the First Round of the NIST Post-Quantum Cryptography Standardization Process”, School: National Institute for Standards and Technology , 2019.
2018
S. P. Jordan and Liu, Y. - K., “Quantum Cryptanalysis: Shor, Grover, and Beyond”, IEEE Security & Privacy , vol. 16, no. 5, pp. 14-21, 2018.
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.
I. Roth, Kueng, R., Kimmel, S., Liu, Y. - K., Gross, D., Eisert, J., and Kliesch, M., “Recovering quantum gates from few average gate fidelities”, Phys. Rev. Lett. , vol. 121, p. 170502, 2018.
F. Krahmer and Liu, Y. - K., “Phase Retrieval Without Small-Ball Probability Assumptions”, IEEE Transactions on Information Theory , vol. 64, no. 1, pp. 485-500, 2018.
Z. Ji, Liu, Y. - K., and Song, F., “Pseudorandom States, Non-Cloning Theorems and Quantum Money”, In: Shacham H., Boldyreva A. (eds) Advances in Cryptology – CRYPTO 2018. CRYPTO 2018. Lecture Notes in Computer Science., vol. 10993, 2018.
2017
V. Dunjko, Liu, Y. - K., Wu, X., and Taylor, J. M., “Super-polynomial and exponential improvements for quantum-enhanced reinforcement learning”, 2017.
R. Perlner and Liu, Y. - K., “Thermodynamic Analysis of Classical and Quantum Search Algorithms”, 2017.
S. Kimmel and Liu, Y. - K., “Phase retrieval using unitary 2-designs”, in SampTA 2017, 2017.
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.
V. Dunjko, Liu, Y. - K., Wu, X., and Taylor, J. M., “Exponential improvements for quantum-accessible reinforcement learning”, 2017.
2016
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.
2015
S. Kimmel and Liu, Y. - K., “Quantum Compressed Sensing Using 2-Designs”, 2015.
F. Krahmer and Liu, Y. - K., “Phase Retrieval Without Small-Ball Probability Assumptions: Stability and Uniqueness”, SampTA, pp. 411-414, 2015.
2014
Y. - K. Liu, “Privacy Amplification in the Isolated Qubits Model”, Eurocrypt, pp. 785-814, 2014.
Y. - K. Liu, “Single-shot security for one-time memories in the isolated qubits model”, CRYPTO, vol. Part II, pp. 19-36, 2014.
2013
A. D. Bookatz, Jordan, S. P., Liu, Y. - K., and Wocjan, P., “Testing quantum expanders is co-QMA-complete”, Physical Review A, vol. 87, no. 4, 2013.
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.
Y. - K. Liu, “Building one-time memories from isolated qubits”, Innovations in Theoretical Computer Science (ITCS), pp. 269-286, 2013.
2012
S. T. Flammia, Gross, D., Liu, Y. - K., and Eisert, J., “Quantum Tomography via Compressed Sensing: Error Bounds, Sample Complexity, and Efficient Estimators ”, New Journal of Physics, vol. 14, no. 9, p. 095022, 2012.
A. Anandkumar, Foster, D. P., Hsu, D., Kakade, S. M., and Liu, Y. - K., “A Spectral Algorithm for Latent Dirichlet Allocation”, Algorithmica, pp. 193-214, 2012.