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Journal Article
S. - H. Hung, Hietala, K., Zhu, S., Ying, M., Hicks, M., and Wu, X., Quantitative Robustness Analysis of Quantum Programs (Extended Version), Proc. ACM Program. Lang., vol. 3, no. POPL, p. Article 31, 2018.
N. Mueller, Carolan, J., Connelly, A., Davoudi, Z., Dumitrescu, E. F., and Yeter-Aydeniz, K., Quantum computation of dynamical quantum phase transitions and entanglement tomography in a lattice gauge theory, 2023.
D. Wang, You, X., Li, T., and Childs, A. M., Quantum exploration algorithms for multi-armed bandits, Proceedings of the 35th Conference on Artificial Intelligence (AAAI 2021), vol. 35, no. 11, pp. 10102-10110, 2021.
S. Gharibian, Santha, M., Sikora, J., Sundaram, A., and Yirka, J., Quantum generalizations of the polynomial hierarchy with applications to QMA(2), Proceedings of 43rd International Symposium on Mathematical Foundations of Computer Science (MFCS 2018), 2018.
N. Y. Yao, Gong, Z. - X., Laumann, C. R., Bennett, S. D., Duan, L. - M., Lukin, M. D., Jiang, L., and Gorshkov, A. V., Quantum Logic between Remote Quantum Registers, Physical Review A, vol. 87, no. 2, 2013.
M. Pistoia, Ahmad, S. Farhan, Ajagekar, A., Buts, A., Chakrabarti, S., Herman, D., Hu, S., Jena, A., Minssen, P., Niroula, P., Rattew, A., Sun, Y., and Yalovetzky, R., Quantum Machine Learning for Finance, 2021.
J. Wildeboer, Langlett, C. M., Yang, Z. - C., Gorshkov, A. V., Iadecola, T., and Xu, S., Quantum Many-Body Scars from Einstein-Podolsky-Rosen States in Bilayer Systems, 2022.
M. J. Martin, Bishof, M., Swallows, M. D., Zhang, X., Benko, C., von-Stecher, J., Gorshkov, A. V., Rey, A. M., and Ye, J., A quantum many-body spin system in an optical lattice clock, Science, vol. 341, p. 632, 2013.
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.
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.
X. Yuan, Sun, J., Liu, J., Zhao, Q., and Zhou, Y., Quantum Simulation with Hybrid Tensor Networks, Physical Review Letters, vol. 127, 2021.
X. Yuan, Sun, J., Liu, J., Zhao, Q., and Zhou, Y., Quantum simulation with hybrid tensor networks, 2020.
M. - C. Hsu, Kuo, E. - J., Yu, W. - H., Cai, J. - F., and Hsieh, M. - H., Quantum state tomography via non-convex Riemannian gradient descent, 2022.
T. Xin, Lu, D., Klassen, J., Yu, N., Ji, Z., Chen, J., Ma, X., Long, G., Zeng, B., and Laflamme, R., Quantum state tomography via reduced density matrices, Physical Review Letters, vol. 118, p. 020401, 2017.
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.
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.
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.
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.
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. M. Langlett, Yang, Z. - C., Wildeboer, J., Gorshkov, A. V., Iadecola, T., and Xu, S., Rainbow Scars: From Area to Volume Law, 2021.
X. Wu, Yao, P., and Yuen, H., Raz-McKenzie simulation with the inner product gadget, Electronic Colloquium on Computational Complexity (ECCC), 2017.
X. Wu, Yao, P., and Yuen, H., Raz-McKenzie simulation with the inner product gadget, Electronic Colloquium on Computational Complexity (ECCC), 2017.
N. Y. Yao, Gorshkov, A. V., Laumann, C. R., Läuchli, A. M., Ye, J., and Lukin, M. D., Realizing Fractional Chern Insulators with Dipolar Spins, Physical Review Letters, vol. 110, no. 18, 2013.
N. Y. Yao, Gorshkov, A. V., Laumann, C. R., Läuchli, A. M., Ye, J., and Lukin, M. D., Realizing Fractional Chern Insulators with Dipolar Spins, Physical Review Letters, vol. 110, no. 18, 2013.
R. Yousefzadeh and O'Leary, D. P., Refining the Structure of Neural Networks Using Matrix Conditioning, 2019.