Publications

Export 1260 results:
[ Author(Asc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
C
J. Chen, Ji, Z., Li, C. - K., Poon, Y. - T., Shen, Y., Yu, N., Zeng, B., and Zhou, D., Discontinuity of Maximum Entropy Inference and Quantum Phase Transitions, New Journal of Physics, vol. 17, no. 8, p. 083019, 2015.
J. Chen, Childs, A. M., and Hung, S. - H., Quantum algorithm for multivariate polynomial interpolation, Proceedings of The Royal Society A, vol. 474, no. 2209, 2018.
J. Chen and Ying, M., Ancilla-Assisted Discrimination of Quantum Gates, 2008.
J. Chen, Chen, X., Duan, R., Ji, Z., and Zeng, B., No-go Theorem for One-way Quantum Computing on Naturally Occurring Two-level Systems , Physical Review A, vol. 83, no. 5, 2011.
J. Chen, Ji, Z., Klyachko, A., Kribs, D. W., and Zeng, B., Rank Reduction for the Local Consistency Problem, Journal of Mathematical Physics, vol. 53, no. 2, p. 022202, 2012.
D. E. Chang, Jiang, L., Gorshkov, A. V., and Kimble, H. J., Cavity QED with atomic mirrors, New J. Phys., vol. 14, p. 063003, 2012.
H. Chan, Katz, J., Nayak, K., Polychroniadou, A., and Shi, E., More is Less: Perfectly Secure Oblivious Algorithms in the Multi-Server Setting, 2018.
S. Chakrabarti, Krishnakumar, R., Mazzola, G., Stamatopoulos, N., Woerner, S., and Zeng, W. J., A Threshold for Quantum Advantage in Derivative Pricing, Quantum, vol. 5, p. 463, 2021.
S. Chakrabarti, Childs, A. M., Li, T., and Wu, X., Quantum algorithms and lower bounds for convex optimization, Quantum, vol. 4, no. 221, 2020.
S. Chakrabarti, Childs, A. M., Hung, S. - H., Li, T., Wang, C., and Wu, X., Quantum algorithm for estimating volumes of convex bodies, ACM Transactions on Quantum Computing, vol. 4, 2023.
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.
A. L. Carter, O’Reilly, J., Toh, G., Saha, S., Shalaev, M., Goetting, I., and Monroe, C., Ion trap with in-vacuum high numerical aperture imaging for a dual-species modular quantum computer, Review of Scientific Instruments, vol. 95, 2024.
J. Carolan and Poremba, A., Quantum One-Wayness of the Single-Round Sponge with Invertible Permutations, 2024.
M. C. Caro, Huang, H. - Y., Cerezo, M., Sharma, K., Sornborger, A., Cincio, L., and Coles, P. J., Generalization in quantum machine learning from few training data, 2021.
D. Carney, Stamp, P. C. E., and Taylor, J. M., Tabletop experiments for quantum gravity: a user's manual, 2018.
D. Carney, Hook, A., Liu, Z., Taylor, J. M., and Zhao, Y., Ultralight dark matter detection with mechanical quantum sensors, New Journal of Physics, vol. 23, no. 2, p. 023041, 2021.
D. Carney, Chaurette, L., Neuenfeld, D., and Semenoff, G., On the need for soft dressing, High Energ. Phys. , vol. 121, 2018.
D. Carney, Häffner, H., Moore, D. C., and Taylor, J. M., Trapped electrons and ions as particle detectors, Phys. Rev. Lett., vol. 127, no. 061804 , 2021.
D. Carney, Müller, H., and Taylor, J. M., Testing quantum gravity with interactive information sensing, 2021.
D. Carney and Taylor, J. M., Strongly incoherent gravity, 2023.
D. Carney, Krnjaic, G., Moore, D. C., Regal, C. A., Afek, G., Bhave, S., Brubaker, B., Corbitt, T., Cripe, J., Crisosto, N., .Geraci, A., Ghosh, S., Harris, J. G. E., Hook, A., Kolb, E. W., Kunjummen, J., Lang, R. F., Li, T., Lin, T., Liu, Z., Lykken, J., Magrini, L., Manley, J., Matsumoto, N., Monte, A., Monteiro, F., Purdy, T., Riedel, C. J., Singh, R., Singh, S., Sinha, K., Taylor, J. M., Qin, J., Wilson, D. J., and Zhao, Y., Mechanical Quantum Sensing in the Search for Dark Matter, 2020.
D. Carney, Stamp, P. C. E., and Taylor, J. M., Tabletop experiments for quantum gravity: a user's manual, 2018.
D. Carney, Chen, Y., Geraci, A., Müller, H., Panda, C. D., Stamp, P. C. E., and Taylor, J. M., Snowmass 2021 White Paper: Tabletop experiments for infrared quantum gravity, 2022.
D. Carney, Ghosh, S., Krnjaic, G., and Taylor, J. M., Gravitational Direct Detection of Dark Matter, Phys. Rev. D, vol. 102, no. 072003, 2020.
D. Carney, Ghosh, S., Krnjaic, G., and Taylor, J. M., Proposal for gravitational direct detection of dark matter, Physical Review D, vol. 102, 2021.