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Q
S. Chakrabarti, Huang, Y., Li, T., Feizi, S., and Wu, X., “Quantum Wasserstein Generative Adversarial Networks”, Advances in Neural Information Processing Systems (NIPS), vol. 32, 2019.
D. An, Linden, N., Liu, J. - P., Montanaro, A., Shao, C., and Wang, J., “Quantum-accelerated multilevel Monte Carlo methods for stochastic differential equations in mathematical finance”, Quantum 5, 481 (2021), vol. 5, p. 481, 2021.
G. Alagic, Majenz, C., Russell, A., and Song, F., “Quantum-Access-Secure Message Authentication via Blind-Unforgeability”, In: Canteaut A., Ishai Y. (eds) Advances in Cryptology – EUROCRYPT 2020. Lecture Notes in Computer Science, Springer, Cham, vol. 12-17, pp. 788-817 , 2020.
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.
J. Leng, Zheng, Y., and Wu, X., “A quantum-classical performance separation in nonconvex optimization”, 2023.
V. Dunjko, Taylor, J. M., and Briegel, H. J., “Quantum-Enhanced Machine Learning”, Physical Review Letters, vol. 117, no. 13, p. 130501, 2016.
N. - H. Chia, Li, T., Lin, H. - H., and Wang, C., “Quantum-inspired classical sublinear-time algorithm for solving low-rank semidefinite programming via sampling approaches”, 2019.
G. Alagic, Majenz, C., Russell, A., and Song, F., “Quantum-secure message authentication via blind-unforgeability”, 2018.
G. Alagic and Russell, A., “Quantum-Secure Symmetric-Key Cryptography Based on Hidden Shifts”, In: Coron JS., Nielsen J. (eds) Advances in Cryptology – EUROCRYPT 2017. Lecture Notes in Computer Science, Springer, Cham, vol. 10212, 2017.
X. Xu, Kim, S., Bahl, G., and Taylor, J. M., “A quasi-mode theory of chiral phonons”, 2016.
N. J. Coble and Coudron, M., “Quasi-polynomial Time Approximation of Output Probabilities of Constant-depth, Geometrically-local Quantum Circuits”, Accepted to QIP 2021, 2020.
N. J. Coble and Coudron, M., “Quasi-polynomial time approximation of output probabilities of geometrically-local, shallow quantum circuits”, 2020.
N. Yunger Halpern, Swingle, B., and Dressel, J., “The quasiprobability behind the out-of-time-ordered correlator”, Phys. Rev. , vol. A, no. 97, 2018.
Y. Xu, Wang, Y., Kuo, E. - J., and Albert, V. V., “Qubit-Oscillator Concatenated Codes: Decoding Formalism and Code Comparison”, PRX Quantum, vol. 4, p. 020342, 2023.
E. Guardado-Sanchez, Spar, B. M., Schauss, P., Belyansky, R., Young, J. T., Bienias, P., Gorshkov, A. V., Iadecola, T., and Bakr, W. S., “Quench Dynamics of a Fermi Gas with Strong Long-Range Interactions”, Phys. Rev. X, vol. 11, 2021.
C. L. Baldwin and Swingle, B., “Quenched vs Annealed: Glassiness from SK to SYK”, 2019.
A. S. Green, Lumsdaine, P. LeFanu, Ross, N. J., Selinger, P., and Valiron, B., “Quipper: A Scalable Quantum Programming Language”, ACM SIGPLAN Notices, vol. 48, no. 6, pp. 333-342, 2013.
J. M. Smith, Ross, N. J., Selinger, P., and Valiron, B., “Quipper: Concrete Resource Estimation in Quantum Algorithms”, 2014.
F. Voichick, Li, L., Rand, R., and Hicks, M., “Qunity: A Unified Language for Quantum and Classical Computing (Extended Version)”, 2022.
R
C. M. Langlett, Yang, Z. - C., Wildeboer, J., Gorshkov, A. V., Iadecola, T., and Xu, S., “Rainbow Scars: From Area to Volume Law”, 2021.
D. Bao and Lackey, B., “Randers surfaces whose Laplacians have completely positive symbol”, Nonlinear Analysis: Theory, Methods & Applications, vol. 38, pp. 27–40, 1999.
K. Huang, Farfurnik, D., Seif, A., Hafezi, M., and Liu, Y. - K., “Random Pulse Sequences for Qubit Noise Spectroscopy”, 2023.
F. Caravelli, De Wit, G. Coulter-, García-Pintos, L. Pedro, and Hamma, A., “Random Quantum Batteries”, Phys. Rev. Research , vol. 2, no. 023095, 2020.
J. Bringewatt, Kunjummen, J., and Mueller, N., “Randomized measurement protocols for lattice gauge theories”, Quantum, vol. 8, p. 1300, 2024.
C. Miller and Shi, Y., “Randomness in nonlocal games between mistrustful players”, Quantum Information and Computation, vol. 17, no. 7&8, pp. 0595-0610, 2017.