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S. Jie Samuel Tan, Pattison, C. A., McEwen, M., and Preskill, J., Resilience of the surface code to error bursts, arXiv preprint arXiv:2406.18897, 2024.
B. Swingle and Halpern, N. Yunger, Resilience of scrambling measurements, Phys. Rev., vol. A, no. 97, 2018.
R. Rand, Paykin, J., Lee, D. - H., and Zdancewic, S., ReQWIRE: Reasoning about Reversible Quantum Circuits, EPTCS , vol. 287, 2019.
T. Li, Gong, Z. - X., Yin, Z. -qi, Quan, H. T., Yin, X., Zhang, P., Duan, L. - M., and Zhang, X., Reply to Comment on "Space-Time Crystals of Trapped Ions, 2012.
S. M. Roy, Deshpande, A., and Sakharwade, N., Remote tomography and entanglement swapping via von Neumann–Arthurs–Kelly interaction , Physical Review A, vol. 89, no. 5, p. 052107, 2014.
J. Riddell, García-Pintos, L. Pedro, and Alhambra, Á. M., Relaxation of non-integrable systems and correlation functions, 2021.
J. M. Taylor, Petta, J. R., Johnson, A. C., Yacoby, A., Marcus, C. M., and Lukin, M. D., Relaxation, dephasing, and quantum control of electron spins in double quantum dots, Physical Review B, vol. 76, no. 3, 2007.
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.
A. M. Childs, On the relationship between continuous- and discrete-time quantum walk, Communications in Mathematical Physics, vol. 294, no. 2, pp. 581 - 603, 2010.
R. Yousefzadeh and O'Leary, D. P., Refining the Structure of Neural Networks Using Matrix Conditioning, 2019.
B. Swingle and Wang, Y., Recovery Map for Fermionic Gaussian Channels, 2018.
I. Roth, Kueng, R., Kimmel, S., Liu, Y. - K., Gross, D., Eisert, J., and Kliesch, M., Recovering quantum gates from few average gate fidelities, Phys. Rev. Lett. , vol. 121, p. 170502, 2018.
R. Verdel, Liu, F., Whitsitt, S., Gorshkov, A. V., and Heyl, M., Real-time dynamics of string breaking in quantum spin chains, 2019.
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.
M. E. Beverland, Alagic, G., Martin, M. J., Koller, A. P., Rey, A. M., and Gorshkov, A. V., Realizing Exactly Solvable SU(N) Magnets with Thermal Atoms, Physical Review A, vol. 93, no. 5, 2016.
F. Liu, Whitsitt, S., Bienias, P., Lundgren, R., and Gorshkov, A. V., Realizing and Probing Baryonic Excitations in Rydberg Atom Arrays, 2020.
A. M. Childs, Chuang, I. L., and Leung, D. W., Realization of quantum process tomography in NMR, Physical Review A, vol. 64, no. 1, 2001.
T. Hong, Gorshkov, A. V., Patterson, D., Zibrov, A. S., Doyle, J. M., Lukin, M. D., and Prentiss, M. G., Realization of Coherent Optically Dense Media via Buffer-Gas Cooling, Physical Review A, vol. 79, no. 1, 2009.
J. Kwan, Segura, P., Li, Y., Kim, S., Gorshkov, A. V., Eckardt, A., Bakkali-Hassani, B., and Greiner, M., Realization of 1D Anyons with Arbitrary Statistical Phase, 2023.
A. Perdomo-Ortiz, Feldman, A., Ozaeta, A., Isakov, S. V., Zhu, Z., O'Gorman, B., Katzgraber, H. G., Diedrich, A., Neven, H., de Kleer, J., Lackey, B., and Biswas, R., On the readiness of quantum optimization machines for industrial applications, 2017.
X. Wu, Yao, P., and Yuen, H., Raz-McKenzie simulation with the inner product gadget, Electronic Colloquium on Computational Complexity (ECCC), 2017.
J. P. Zwolak, McJunkin, T., Kalantre, S. S., Neyens, S. F., MacQuarrie, E. R., Eriksson, M. A., and Taylor, J. M., Ray-based framework for state identification in quantum dot devices, PRX Quantum, vol. 2, no. 020335, 2021.
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.
C. - H. Liang, Chen, Y. - A., Liu, Y. - C., and Hsu, W. H., Raw Image Deblurring, 2020.
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.