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J. P. Zwolak, Kalantre, S. S., Wu, X., Ragole, S., and Taylor, J. M., QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments, PLOS ONE, vol. 13, no. 10, p. e0205844, 2018.
P. S. Emani, Warrell, J., Anticevic, A., Bekiranov, S., Gandal, M., McConnell, M. J., Sapiro, G., Aspuru-Guzik, A., Baker, J., Bastiani, M., McClure, P., Murray, J., Sotiropoulos, S. N., Taylor, J. M., Senthil, G., Lehner, T., Gerstein, M. B., and Harrow, A. W., Quantum Computing at the Frontiers of Biological Sciences, 2019.
J. M. Taylor, A quantum dot implementation of the quantum NAND algorithm, 2007.
J. M. Taylor, Giedke, G., Christ, H., Paredes, B., Cirac, J. I., Zoller, P., Lukin, M. D., and Imamoglu, A., Quantum information processing using localized ensembles of nuclear spins, 2004.
D. Kielpinski, Kafri, D., Woolley, M. J., Milburn, G. J., and Taylor, J. M., Quantum interface between an electrical circuit and a single atom, Physical Review Letters, vol. 108, no. 13, 2012.
C. - H. Wang and Taylor, J. M., A Quantum Model for an Entropic Spring, Physical Review B, vol. 93, no. 21, p. 214102, 2016.
M. Gullans and Taylor, J. M., A Quantum Network of Silicon Qubits using Mid-Infrared Graphene Plasmons, 2014.
X. Xu, Gullans, M., and Taylor, J. M., Quantum Nonlinear Optics Near Optomechanical Instabilities, Physical Review A, vol. 91, no. 1, p. 013818, 2015.
Y. Wang, Tran, M. C., and Taylor, J. M., Quantum simulation of ferromagnetic Heisenberg model, 2017.
V. Dunjko, Taylor, J. M., and Briegel, H. J., Quantum-Enhanced Machine Learning, Physical Review Letters, vol. 117, no. 13, p. 130501, 2016.
X. Xu, Kim, S., Bahl, G., and Taylor, J. M., A quasi-mode theory of chiral phonons, 2016.