Publications

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2017
V. Dunjko, Liu, Y. - K., Wu, X., and Taylor, J. M., Exponential improvements for quantum-accessible reinforcement learning, 2017.
V. Dunjko, Taylor, J. M., and Briegel, H. J., Advances in Quantum Reinforcement Learning, IEEE SMC, Banff, AB, pp. 282-287, 2017.
X. Xu and Taylor, J. M., Optomechanically-induced chiral transport of phonons in one dimension, 2017.
X. Xu, Purdy, T., and Taylor, J. M., Cooling a harmonic oscillator by optomechanical modification of its bath, Physical Review Letters, vol. 118, p. 223602, 2017.
S. Kim, Xu, X., Taylor, J. M., and Bahl, G., Dynamically induced robust phonon transport and chiral cooling in an optomechanical system, Nature Communications, vol. 8, p. 205, 2017.
M. Gullans, Taylor, J. M., Imamoglu, A., Ghaemi, P., and Hafezi, M., High-Order Multipole Radiation from Quantum Hall States in Dirac Materials, Physical Review B, vol. 95, no. 23, p. 235439, 2017.
Y. - Y. Liu, Stehlik, J., Eichler, C., Mi, X., Hartke, T. R., Gullans, M., Taylor, J. M., and Petta, J. R., Threshold Dynamics of a Semiconductor Single Atom Maser, Physical Review Letters, vol. 119, no. 9, p. 097702, 2017.
J. A. Smiga and Taylor, J. M., Optomechanical Analogy for Toy Cosmology with Quantized Scale Factor, Entropy, vol. 19, no. 9, 2017.
S. Ragole, Xu, H., Lawall, J., and Taylor, J. M., Thermodynamic limits for optomechanical systems with conservative potentials, Physical Review B, vol. 96, no. 18, p. 184106, 2017.
J. K. Perron, Gullans, M., Taylor, J. M., Stewart, Jr., M. D., and Zimmerman, N. M., Valley Blockade in a Silicon Double Quantum Dot, Physical Review B, vol. 96, no. 20, p. 205302, 2017.
M. Gullans, Diehl, S., Rittenhouse, S. T., Ruzic, B. P., D'Incao, J. P., Julienne, P., Gorshkov, A. V., and Taylor, J. M., Efimov States of Strongly Interacting Photons, Physical Review Letters, vol. 119, no. 23, p. 233601, 2017.
V. Dunjko, Liu, Y. - K., Wu, X., and Taylor, J. M., Super-polynomial and exponential improvements for quantum-enhanced reinforcement learning, 2017.
S. S. Kalantre, Zwolak, J. P., Ragole, S., Wu, X., Zimmerman, N. M., Stewart, M. D., and Taylor, J. M., Machine Learning techniques for state recognition and auto-tuning in quantum dots, 2017.
Y. Wang, Tran, M. C., and Taylor, J. M., Quantum simulation of ferromagnetic Heisenberg model, 2017.
M. Benito, Mi, X., Taylor, J. M., Petta, J. R., and Burkard, G., Input-output theory for spin-photon coupling in Si double quantum dots, Physical Review B, vol. 96, no. 23, p. 235434, 2017.