1. Research
  2. Publications

Publications

Export 1157 results:
Author Title Type [ Year(Asc)]
Filters: Filter is   [Clear All Filters]
2022
Y. - A. Chen, Gorshkov, A. V., and Xu, Y., “Error-correcting codes for fermionic quantum simulation”, 2022.
A. M. Childs, Li, T., Liu, J. - P., Wang, C., and Zhang, R., “Quantum Algorithms for Sampling Log-Concave Distributions and Estimating Normalizing Constants”, 2022.
A. Singh Arora, Coladangelo, A., Coudron, M., Gheorghiu, A., Singh, U., and Waldner, H., “Quantum Depth in the Random Oracle Model”, 2022.
A. M. Childs, Kothari, R., Kovacs-Deak, M., Sundaram, A., and Wang, D., “Quantum divide and conquer”, 2022.
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.
A. Deshpande, Mehta, A., Vincent, T., Quesada, N., Hinsche, M., Ioannou, M., Madsen, L., Lavoie, J., Qi, H., Eisert, J., Hangleiter, D., Fefferman, B., and Dhand, I., “Quantum computational advantage via high-dimensional Gaussian boson sampling”, Science Advances, vol. 8, p. eabi7894, 2022.
H. Fu, Wang, D., and Zhao, Q., “Computational self-testing of multi-qubit states and measurements”, 2022.
M. Van Regemortel, Shtanko, O., García-Pintos, L. Pedro, Deshpande, A., Dehghani, H., Gorshkov, A. V., and Hafezi, M., “Monitoring-induced Entanglement Entropy and Sampling Complexity”, 2022.
A. Dua, Kubica, A., Jiang, L., Flammia, S. T., and Gullans, M., “Clifford-deformed Surface Codes”, 2022.
D. R. M. Arvidsson-Shukur, McConnell, A. G., and Halpern, N. Yunger, “Quantum simulations of time travel can power nonclassical metrology”, 2022.
T. Sewell, Bapat, A., and Jordan, S., “Estimating gate complexities for the site-by-site preparation of fermionic vacua”, 2022.
D. Wu, Zhao, Q., Wang, C., Huang, L., Jiang, Y. - F., Bai, B., Zhou, Y., Gu, X. - M., Liu, F. - M., Mao, Y. - Q., Sun, Q. - C., Chen, M. - C., Zhang, J., Peng, C. - Z., Zhu, X. - B., Zhang, Q., Lu, C. - Y., and Pan, J. - W., “Closing the Locality and Detection Loopholes in Multiparticle Entanglement Self-Testing”, Physical Review Letters, vol. 128, no. 25, p. 250401, 2022.
Z. A. Benson, Peshkov, A., Halpern, N. Yunger, Richardson, D. C., and Losert, W., “Experimentally Measuring Rolling and Sliding in Three-Dimensional Dense Granular Packings”, Phys. Rev. Lett., vol. 129, no. 4, p. 048001, 2022.
J. Bringewatt and Brady, L. T., “Simultaneous Stoquasticity”, Phys. Rev. A, vol. 105, no. 062601, 2022.
S. Guo, Koh, S. M., Fritsch, A. R., Spielman, I. B., and Zwolak, J. P., “Combining machine learning with physics: A framework for tracking and sorting multiple dark solitons”, Phys. Rev. Research, vol. 4, p. 023163 , 2022.
A. R. Fritsch, Guo, S., Koh, S. M., Spielman, I. B., and Zwolak, J. P., “Dark Solitons in Bose-Einstein Condensates: A Dataset for Many-body Physics Research”, 2022.
C. J. Cao and Lackey, B., “Quantum Lego: Building Quantum Error Correction Codes from Tensor Networks”, PRX Quantum, vol. 3, no. 2, p. 020332, 2022.
Y. - A. Chen, Childs, A. M., Hafezi, M., Jiang, Z., Kim, H., and Xu, Y., “Efficient Product Formulas for Commutators and Applications to Quantum Simulation”, Physical Review Research, vol. 4, 2022.
B. J. Weber, Kalantre, S. S., McJunkin, T., Taylor, J. M., and Zwolak, J. P., “Theoretical bounds on data requirements for the ray-based classification”, SN Comput. Sci., vol. 3, no. 57, 2022.
J. Ziegler, McJunkin, T., Joseph, E. S., Kalantre, S. S., Harpt, B., Savage, D. E., Lagally, M. G., Eriksson, M. A., Taylor, J. M., and Zwolak, J. P., “Toward Robust Autotuning of Noisy Quantum dot Devices”, Physical Review Applied, vol. 17, 2022.
N. Yunger Halpern and Majidy, S., “How to build Hamiltonians that transport noncommuting charges in quantum thermodynamics”, npj Quantum Inf, vol. 8, no. 10, 2022.
D. H. Wu and Albert, V. V., “Approximating the two-mode two-photon Rabi model”, Physics Letters A, vol. 422, 2022.
H. Fu, “Constant-sized correlations are sufficient to robustly self-test maximally entangled states with unbounded dimension”, Quantum, vol. 6, p. 614, 2022.
D. Hangleiter, Carolan, J., and Thébault, K. P. Y., Analogue Quantum Simulation: A New Instrument for Scientific Understanding. Springer Nature, 2022, pp. 83-102.
2021
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.