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Author [ Title(Asc)] Type Year
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F
K. R. A. Hazzard, Manmana, S. R., Foss-Feig, M., and Rey, A. Maria, “Far from equilibrium quantum magnetism with ultracold polar molecules”, Physical Review Letters, vol. 110, no. 7, 2013.
E. Kubischta and Teixeira, I., “A Family of Quantum Codes with Exotic Transversal Gates”, 2023.
A. Aydin, Alekseyev, M. A., and Barg, A., “A family of permutationally invariant quantum codes”, Quantum, vol. 8, p. 1321, 2024.
E
Z. Yang, Zhang, T., Lu, J., Su, Y., Zhang, D., and Duan, Y., “Extreme learning machines for regression based on V-matrix method”, Cognitive Neurodynamics, 2017.
Z. - P. Cian, Hafezi, M., and Barkeshli, M., “Extracting Wilson loop operators and fractional statistics from a single bulk ground state”, 2022.
K. Hyatt, Garrison, J. R., and Bauer, B., “Extracting entanglement geometry from quantum states”, Physical Review Letters, vol. 119, no. 14, 2017.
D. T. Robb and Ostrander, A., “Extended order parameter and conjugate field for the dynamic phase transition in a Ginzburg-Landau mean-field model in an oscillating field”, Physical Review E, vol. 89, p. 022114, 2014.
J. D. Watson and Watkins, J., “Exponentially Reduced Circuit Depths Using Trotter Error Mitigation”, 2024.
X. You and Wu, X., “Exponentially Many Local Minima in Quantum Neural Networks”, Proceedings of the 38th International Conference on Machine Learning, PMLR, vol. 139, pp. 12144-12155, 2021.
A. Anshu, Touchette, D., Yao, P., and Yu, N., “Exponential Separation of Quantum Communication and Classical Information”, in 20th Annual Conference on Quantum Information Processing (QIP), 2016.
M. Winer, Jian, S. - K., and Swingle, B., “An exponential ramp in the quadratic Sachdev-Ye-Kitaev model”, 2020.
F. G. S. L. Brandão, Kalev, A., Li, T., Lin, C. Yen- Yu, Svore, K. M., and Wu, X., “Exponential Quantum Speed-ups for Semidefinite Programming with Applications to Quantum Learning”, 2017.
C. Miller, “Exponential iterated integrals and the relative solvable completion of the fundamental group of a manifold”, Topology, vol. 44, no. 2, pp. 351 - 373, 2005.
V. Dunjko, Liu, Y. - K., Wu, X., and Taylor, J. M., “Exponential improvements for quantum-accessible reinforcement learning”, 2017.
D. W. Berry, Childs, A. M., Cleve, R., Kothari, R., and Somma, R. D., “Exponential improvement in precision for simulating sparse Hamiltonians”, Proceedings of the 46th ACM Symposium on Theory of Computing (STOC 2014), pp. 283-292, 2014.
Y. - X. Wang, Bringewatt, J., Seif, A., Brady, A. J., Oh, C., and Gorshkov, A. V., “Exponential entanglement advantage in sensing correlated noise”, 2024.
A. M. Childs, Cleve, R., Deotto, E., Farhi, E., Gutmann, S., and Spielman, D. A., “Exponential algorithmic speedup by quantum walk”, 2002.
Q. Zhao and Yuan, X., “Exploiting anticommutation in Hamiltonian simulation”, 2021.
J. K. Thompson, Parekh, O., and Marwaha, K., “An explicit vector algorithm for high-girth MaxCut”, 2021.
N. Berthusen, Dreiling, J., Foltz, C., Gaebler, J. P., Gatterman, T. M., Gresh, D., Hewitt, N., Mills, M., Moses, S. A., Neyenhuis, B., Siegfried, P., and Hayes, D., “Experiments with the 4D Surface Code on a QCCD Quantum Computer”, 2024.
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.
P. Bierhorst, Knill, E., Glancy, S., Zhang, Y., Mink, A., Jordan, S., Rommal, A., Liu, Y. - K., Christensen, B., Nam, S. Woo, Stevens, M. J., and Shalm, L. K., “Experimentally Generated Randomness Certified by the Impossibility of Superluminal Signals”, Nature, vol. 556, pp. 223-226, 2018.
P. Bierhorst, Knill, E., Glancy, S., Mink, A., Jordan, S. P., Rommal, A., Liu, Y. - K., Christensen, B., Nam, S. Woo, and Shalm, L. K., “Experimentally Generated Random Numbers Certified by the Impossibility of Superluminal Signaling”, 2017.
H. Sosa-Martinez, Lysne, N. K., Baldwin, C. H., Kalev, A., Deutsch, I. H., and Jessen, P. S., “Experimental Study of Optimal Measurements for Quantum State Tomography”, Physical Review Letters, vol. 119, no. 15, p. 150401, 2017.
A. Y. Guo, Young, J. T., Belyansky, R., Bienias, P., and Gorshkov, A. V., “Experimental roadmap for optimal state transfer and entanglement generation in power-law systems”, 2024.