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C. - H. Wang and Taylor, J. M., A Quantum Model for an Entropic Spring, Physical Review B, vol. 93, no. 21, p. 214102, 2016.
L. Li, Zhu, M., Lee, Y., Chang, L., and Wu, X., Quantum Natural Proof: A New Perspective of Hybrid Quantum-Classical Program Verification, 2022.
C. L. Holloway, Simons, M. T., Haddab, A. H., Williams, C. J., and Holloway, M. W., Quantum Physics Meets Music: A "Real-Time" Guitar Recording Using Rydberg-Atoms and Electromagnetically Induced Transparency, 2019.
T. Li and Wu, X., Quantum query complexity of entropy estimation, IEEE Transactions on Information Theory, vol. 65, no. 5, pp. 2899-2921, 2019.
F. G. S. L. Brandão, Kalev, A., Li, T., Lin, C. Yen- Yu, Svore, K. M., and Wu, X., Quantum SDP Solvers: Large Speed-ups, Optimality, and Applications to Quantum Learning, To appear at the 46th International Colloquium on Automata, Languages and Programming (ICALP 2019), 2018.
C. W. Bauer, Davoudi, Z., A. Balantekin, B., Bhattacharya, T., Carena, M., de Jong, W. A., Draper, P., El-Khadra, A., Gemelke, N., Hanada, M., Kharzeev, D., Lamm, H., Li, Y. - Y., Liu, J., Lukin, M., Meurice, Y., Monroe, C., Nachman, B., Pagano, G., Preskill, J., Rinaldi, E., Roggero, A., Santiago, D. I., Savage, M. J., Siddiqi, I., Siopsis, G., Van Zanten, D., Wiebe, N., Yamauchi, Y., Yeter-Aydeniz, K., and Zorzetti, S., Quantum Simulation for High Energy Physics, 2022.
Y. Wang, Tran, M. C., and Taylor, J. M., Quantum simulation of ferromagnetic Heisenberg model, 2017.
A. Gilyen, Su, Y., Low, G. Hao, and Wiebe, N., Quantum singular value transformation and beyond: exponential improvements for quantum matrix arithmetics, Proceedings of the 51st ACM Symposium on Theory of Computing , pp. 193-204, 2018.
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.
Y. Alexeev, Amsler, M., Barroca, M. Antonio, Bassini, S., Battelle, T., Camps, D., Casanova, D., Choi, Y. Jay, Chong, F. T., Chung, C., Codella, C., Córcoles, A. D., Cruise, J., Di Meglio, A., 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., Hermes, M. R., 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., Kürkçüog̃lu, 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., Mostame, S., Motta, M., Na, Y. - H., Nam, Y., Narang, P., Ohnishi, Y. -ya, Ottaviani, D., Otten, M., Pakin, S., Pascuzzi, V. R., Pednault, E., Piontek, T., Pitera, J., Rall, P., Ravi, G. Subramania, Robertson, N., Rossi, M. A. C., 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. D., Tang, W., Thompson, J., Todo, S., Tran, M. C., Trenev, D., Trott, C., Tseng, H. - H., Tubman, N. M., Tureci, E., Valiñas, 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, Future Generation Computer Systems, vol. 160, pp. 666–710, 2024.
Y. Alexeev, Amsler, M., Barroca, M. Antonio, Bassini, S., Battelle, T., Camps, D., Casanova, D., Choi, Y. Jay, Chong, F. T., Chung, C., Codella, C., Córcoles, A. D., Cruise, J., Di Meglio, A., 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., Hermes, M. R., 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., Kürkçüog̃lu, 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., Mostame, S., Motta, M., Na, Y. - H., Nam, Y., Narang, P., Ohnishi, Y. -ya, Ottaviani, D., Otten, M., Pakin, S., Pascuzzi, V. R., Pednault, E., Piontek, T., Pitera, J., Rall, P., Ravi, G. Subramania, Robertson, N., Rossi, M. A. C., 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. D., Tang, W., Thompson, J., Todo, S., Tran, M. C., Trenev, D., Trott, C., Tseng, H. - H., Tubman, N. M., Tureci, E., Valiñas, 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, Future Generation Computer Systems, vol. 160, pp. 666–710, 2024.
Y. Alexeev, Amsler, M., Barroca, M. Antonio, Bassini, S., Battelle, T., Camps, D., Casanova, D., Choi, Y. Jay, Chong, F. T., Chung, C., Codella, C., Córcoles, A. D., Cruise, J., Di Meglio, A., 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., Hermes, M. R., 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., Kürkçüog̃lu, 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., Mostame, S., Motta, M., Na, Y. - H., Nam, Y., Narang, P., Ohnishi, Y. -ya, Ottaviani, D., Otten, M., Pakin, S., Pascuzzi, V. R., Pednault, E., Piontek, T., Pitera, J., Rall, P., Ravi, G. Subramania, Robertson, N., Rossi, M. A. C., 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. D., Tang, W., Thompson, J., Todo, S., Tran, M. C., Trenev, D., Trott, C., Tseng, H. - H., Tubman, N. M., Tureci, E., Valiñas, 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, Future Generation Computer Systems, vol. 160, pp. 666–710, 2024.
J. Leng, Zheng, Y., and Wu, X., A quantum-classical performance separation in nonconvex optimization, 2023.
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.
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.
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.
V. Iyer, Jain, S. P., Kovacs-Deak, M., Kumar, V. M., Schaeffer, L., Wang, D., and Whitmeyer, M., On the Rational Degree of Boolean Functions and Applications, 2023.
V. Iyer, Jain, S. P., Kovacs-Deak, M., Kumar, V. M., Schaeffer, L., Wang, D., and Whitmeyer, M., On the Rational Degree of Boolean Functions and Applications, 2023.
J. P. Zwolak, Kalantre, S. S., McJunkin, T., Weber, B. J., and Taylor, J. M., Ray-based classification framework for high-dimensional data, Proceedings of the Machine Learning and the Physical Sciences Workshop at NeurIPS 2020, Vancouver, Canada, 2020.
X. Wu, Yao, P., and Yuen, H., Raz-McKenzie simulation with the inner product gadget, Electronic Colloquium on Computational Complexity (ECCC), 2017.
F. Liu, Whitsitt, S., Bienias, P., Lundgren, R., and Gorshkov, A. V., Realizing and Probing Baryonic Excitations in Rydberg Atom Arrays, 2020.
R. Verdel, Liu, F., Whitsitt, S., Gorshkov, A. V., and Heyl, M., Real-time dynamics of string breaking in quantum spin chains, 2019.
B. Swingle and Wang, Y., Recovery Map for Fermionic Gaussian Channels, 2018.
M. S. Safronova, Williams, C. J., and Clark, C. W., Relativistic many-body calculations of electric-dipole matrix elements, lifetimes and polarizabilities in rubidium , Physical Review A, vol. 69, no. 2, 2004.