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2023
Y. Alexeev, Amsler, M., Baity, P., Barroca, M. Antonio, Bassini, S., Battelle, T., Camps, D., Casanova, D., Choi, Yjai, Chong, F. T., Chung, C., Codella, C., Corcoles, A. D., Cruise, J., Di Meglio, A., Dubois, J., Duran, I., Eckl, T., Economou, S., Eidenbenz, S., Elmegreen, B., Fare, C., Faro, I., Fernández, C. Sanz, Ferreira, R. Neumann Ba, Fuji, K., Fuller, B., Gagliardi, L., Galli, G., Glick, J. R., Gobbi, I., Gokhale, P., Gonzalez, Sde la Puen, Greiner, J., Gropp, B., Grossi, M., Gull, E., Healy, B., Huang, B., Humble, T. S., Ito, N., Izmaylov, A. F., Javadi-Abhari, A., Jennewein, D., Jha, S., Jiang, L., Jones, B., de Jong, W. Albert, Jurcevic, P., Kirby, W., Kister, S., Kitagawa, M., Klassen, J., Klymko, K., Koh, K., Kondo, M., Kurkcuoglu, D. Murat, Kurowski, K., Laino, T., Landfield, R., Leininger, M., Leyton-Ortega, V., Li, A., Lin, M., Liu, J., Lorente, N., Luckow, A., Martiel, S., Martin-Fernandez, F., Martonosi, M., Marvinney, C., Medina, A. Castaneda, Merten, D., Mezzacapo, A., Michielsen, K., Mitra, A., Mittal, T., Moon, K., Moore, J., Motta, M., Na, Y. - H., Nam, Y., Narang, P., Ohnishi, Y. -ya, Ottaviani, D., Otten, M., Pakin, S., Pascuzzi, V. R., Penault, E., Piontek, T., Pitera, J., Rall, P., Ravi, G. Subramania, Robertson, N., Rossi, M., Rydlichowski, P., Ryu, H., Samsonidze, G., Sato, M., Saurabh, N., Sharma, V., Sharma, K., Shin, S., Slessman, G., Steiner, M., Sitdikov, I., Suh, I. - S., Switzer, E., Tang, W., Thompson, J., Todo, S., Tran, M., Trenev, D., Trott, C., Tseng, H. - H., Tureci, E., Valinas, D. García, Vallecorsa, S., Wever, C., Wojciechowski, K., Wu, X., Yoo, S., Yoshioka, N., Yu, V. Wen-zhe, Yunoki, S., Zhuk, S., and Zubarev, D., “Quantum-centric Supercomputing for Materials Science: A Perspective on Challenges and Future Directions”, 2023.
P. C. S. Costa, An, D., Babbush, R., and Berry, D., “The discrete adiabatic quantum linear system solver has lower constant factors than the randomized adiabatic solver”, 2023.
B. Augustino, Leng, J., Nannicini, G., Terlaky, T., and Wu, X., “A quantum central path algorithm for linear optimization”, 2023.
D. R. M. Arvidsson-Shukur, McConnell, A. G., and Halpern, N. Yunger, “Quantum simulations of time travel can power nonclassical metrology”, Phys. Rev. Lett., vol. 131, no. 150202, 2023.
M. Liaofan Liu, Tantivasadakarn, N., and Albert, V. V., “Subsystem CSS codes, a tighter stabilizer-to-CSS mapping, and Goursat's Lemma”, 2023.
S. P. Jain, Hudson, E. R., Campbell, W. C., and Albert, V. V., “Æ codes”, 2023.
Y. Xu, Wang, Y., and Albert, V. V., “Clifford operations and homological codes for rotors and oscillators”, 2023.
A. Aydin, Alekseyev, M. A., and Barg, A., “A family of permutationally invariant quantum codes”, 2023.
A. Aydin, Alekseyev, M. A., and Barg, A., “A family of permutationally invariant quantum codes”, 2023.
D. An, Liu, J. - P., and Lin, L., “Linear combination of Hamiltonian simulation for non-unitary dynamics with optimal state preparation cost”, Phys. Rev. Lett., vol. 131, no. 150603, 2023.
D. R. M. Arvidsson-Shukur, McConnell, A. G., and Halpern, N. Yunger, “Nonclassical Advantage in Metrology Established via Quantum Simulations of Hypothetical Closed Timelike Curves”, Phys. Rev. Lett., vol. 131, p. 150202, 2023.
2022
D. An, Fang, D., and Lin, L., “Time-dependent Hamiltonian Simulation of Highly Oscillatory Dynamics and Superconvergence for Schrödinger Equation”, Quantum, vol. 6, p. 690, 2022.
H. - Y. Huang, Kueng, R., Torlai, G., Albert, V. V., and Preskill, J., “Provably efficient machine learning for quantum many-body problems”, Science, vol. 377, 2022.
Y. Tong, Albert, V. V., McClean, J. R., Preskill, J., and Su, Y., “Provably accurate simulation of gauge theories and bosonic systems”, Quantum, vol. 6, p. 816, 2022.
G. Alagic, Bai, C., Katz, J., Majenz, C., and Struck, P., “Post-Quantum Security of the (Tweakable) FX Construction, and Applications”, 2022.
I. H. Kim, Shi, B., Kato, K., and Albert, V. V., “Modular commutator in gapped quantum many-body systems”, Physical Review B, vol. 106, 2022.
G. Alagic, Apon, D., Cooper, D., Dang, Q., Dang, T., Kelsey, J., Lichtinger, J., Miller, C., Moody, D., Peralta, R., Perlner, R., and Robinson, A., “Status Report on the Third Round of the NIST Post-Quantum Cryptography Standardization Process”, NIST, 2022.
G. Alagic, Apon, D., Cooper, D., Dang, Q., Dang, T., Kelsey, J., Lichtinger, J., Miller, C., Moody, D., Peralta, R., Perlner, R., and Robinson, A., “Status Report on the Third Round of the NIST Post-Quantum Cryptography Standardization Process”, NIST, 2022.
N. Lupu-Gladstein, Y. Yilmaz, B., Arvidsson-Shukur, D. R. M., Brodutch, A., Pang, A. O. T., Steinberg, A. M., and Halpern, N. Yunger, “Negative Quasiprobabilities Enhance Phase Estimation in Quantum-Optics Experiment”, Phys. Rev. Lett., vol. 128, p. 220504, 2022.
A. Ehrenberg, Deshpande, A., Baldwin, C. L., Abanin, D. A., and Gorshkov, A. V., “Simulation Complexity of Many-Body Localized Systems”, 2022.
D. An, Fang, D., Jordan, S., Liu, J. - P., Low, G. Hao, and Wang, J., “Efficient quantum algorithm for nonlinear reaction-diffusion equations and energy estimation”, 2022.
I. H. Kim, Shi, B., Kato, K., and Albert, V. V., “Chiral central charge from a single bulk wave function”, Phys. Rev. Lett. , vol. 128, no. 17, p. 176402, 2022.
Y. Alnawakhtha and Miller, C., “Where we are with quantum”, Nature Physics, 2022.
I. Ahmadabadi, Dehghani, H., and Hafezi, M., “Optical conductivity and orbital magnetization of Floquet vortex states”, 2022.
X. - M. Hu, Xie, Y., Arora, A. Singh, Ai, M. - Z., Bharti, K., Zhang, J., Wu, W., Chen, P. - X., Cui, J. - M., Liu, B. - H., Huang, Y. - F., Li, C. - F., Guo, G. - C., Roland, J., Cabello, A., and Kwek, L. - C., “Self-Testing of a Single Quantum System: Theory and Experiment”, 2022.