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P. Nguyen, Devakul, T., Halbasch, M. G., Zaletel, M. P., and Swingle, B., Entanglement of purification: from spin chains to holography, Journal of High Energy Physics, p. 98, 2018.
J. Cotler, Hayden, P., Penington, G., Salton, G., Swingle, B., and Walter, M., Entanglement Wedge Reconstruction via Universal Recovery Channels, 2017.
J. Cotler, Hayden, P., Penington, G., Salton, G., Swingle, B., and Walter, M., Entanglement Wedge Reconstruction via Universal Recovery Channels, 2017.
V. Srinivasa, Taylor, J. M., and Tahan, C., Entangling distant resonant exchange qubits via circuit quantum electrodynamics, Physical Review B, vol. 94, no. 20, p. 205421, 2016.
Y. Subasi, Fleming, C. H., Taylor, J. M., and Hu, B. L., The equilibrium states of open quantum systems in the strong coupling regime, Physical Review E, vol. 86, no. 6, 2012.
S. P. Jordan, Farhi, E., and Shor, P. W., Error correcting codes for adiabatic quantum computation, Physical Review A, vol. 74, no. 5, 2006.
R. Agarwal, Rethinasamy, S., Sharma, K., and Wilde, M. M., Estimating distinguishability measures on quantum computers, 2021.
T. Sewell, Bapat, A., and Jordan, S., Estimating gate complexities for the site-by-site preparation of fermionic vacua, 2022.
P. W. Shor and Jordan, S. P., Estimating Jones polynomials is a complete problem for one clean qubit, Quantum Information & Computation, vol. 8, no. 8, pp. 681-714, 2008.
J. Yu, Chen, Y. - A., and Sarma, S. Das, Euler-obstructed Cooper pairing: Nodal superconductivity and hinge Majorana zero modes, Physical Review B, vol. 105, 2022.
A. M. Childs, Reichardt, B. W., Spalek, R., and Zhang, S., Every NAND formula of size N can be evaluated in time N^1/2+o(1) on a quantum computer , 2007.
Y. Zhang, Shalm, L. K., Bienfang, J. C., Stevens, M. J., Mazurek, M. D., Nam, S. Woo, Abellán, C., Amaya, W., Mitchell, M. W., Fu, H., Miller, C., Mink, A., and Knill, E., Experimental Low-Latency Device-Independent Quantum Randomness, Phys. Rev. Lett. , vol. 124, no. 010505, 2020.
Y. Zhang, Shalm, L. K., Bienfang, J. C., Stevens, M. J., Mazurek, M. D., Nam, S. Woo, Abellán, C., Amaya, W., Mitchell, M. W., Fu, H., Miller, C., Mink, A., and Knill, E., Experimental Low-Latency Device-Independent Quantum Randomness, Phys. Rev. Lett. , vol. 124, no. 010505, 2020.
P. Richerme, Senko, C., Smith, J., Lee, A., Korenblit, S., and Monroe, C., Experimental Performance of a Quantum Simulator: Optimizing Adiabatic Evolution and Identifying Many-Body Ground States , Physical Review A, vol. 88, no. 1, 2013.
P. Richerme, Senko, C., Smith, J., Lee, A., Korenblit, S., and Monroe, C., Experimental Performance of a Quantum Simulator: Optimizing Adiabatic Evolution and Identifying Many-Body Ground States , Physical Review A, vol. 88, no. 1, 2013.
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.
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.
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., 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.
A. M. Childs, Cleve, R., Deotto, E., Farhi, E., Gutmann, S., and Spielman, D. A., Exponential algorithmic speedup by quantum walk, 2002.
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.
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.
M. Winer, Jian, S. - K., and Swingle, B., An exponential ramp in the quadratic Sachdev-Ye-Kitaev model, 2020.
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.