Export 781 results:
Author Title Type [ Year(Asc)]
L. Pedro García-Pintos, Hamma, A., and del Campo, A., Fluctuations in stored work bound the charging power of quantum batteries, 2019.
A. Seif, Hafezi, M., and Jarzynski, C., Machine learning the thermodynamic arrow of time, 2019.
V. Vikram Orre, Goldschmidt, E. A., Deshpande, A., Gorshkov, A. V., Tamma, V., Hafezi, M., and Mittal, S., Interference of Temporally Distinguishable Photons Using Frequency-Resolved Detection, Phys. Rev. Lett. , vol. 123, no. 123603, 2019.
C. A. Miller, The Impossibility of Efficient Quantum Weak Coin-Flipping, 2019.
S. Xu and Swingle, B., Locality, Quantum Fluctuations, and Scrambling, Phys. Rev. X , vol. 9, no. 031048, 2019.
T. Zhou, Xu, S., Chen, X., Guo, A., and Swingle, B., The operator Lévy flight: light cones in chaotic long-range interacting systems, 2019.
J. P. Zwolak, McJunkin, T., Kalantre, S. S., Dodson, J. P., MacQuarrie, E. R., Savage, D. E., Lagally, M. G., Coppersmith, S. N., Eriksson, M. A., and Taylor, J. M., Auto-tuning of double dot devices in situ with machine learning, 2019.
A. Kalev and Kyrillidis, A., Validating and Certifying Stabilizer States, Phys. Rev. A , vol. 99, no. 042337, 2019.
R. Lundgren, Liu, F., Laurell, P., and Fiete, G. A., Momentum-space entanglement after a quench in one-dimensional disordered fermionic systems, 2019.
P. Titum, Iosue, J. T., Garrison, J. R., Gorshkov, A. V., and Gong, Z. - X., Probing ground-state phase transitions through quench dynamics, Phys. Rev. Lett., vol. 123, no. 115701, 2019.
Z. Davoudi, Hafezi, M., Monroe, C., Pagano, G., Seif, A., and Shaw, A., Towards analog quantum simulations of lattice gauge theories with trapped ions, 2019.
R. Yousefzadeh and O'Leary, D. P., Investigating Decision Boundaries of Trained Neural Networks, 2019.
R. Yousefzadeh and O'Leary, D. P., Refining the Structure of Neural Networks Using Matrix Conditioning, 2019.
T. L. Scholten, Liu, Y. - K., Young, K., and Blume-Kohout, R., Classifying single-qubit noise using machine learning, 2019.
Z. Eldredge, Zhou, L., Bapat, A., Garrison, J. R., Deshpande, A., Chong, F. T., and Gorshkov, A. V., Entanglement Bounds on the Performance of Quantum Computing Architectures, 2019.
A. N. Glaudell, Ross, N. J., and Taylor, J. M., Canonical forms for single-qutrit Clifford+T operators, Annals of Physics, vol. 406, pp. 54-70, 2019.
M. Amy, Glaudell, A. N., and Ross, N. J., Number-Theoretic Characterizations of Some Restricted Clifford+T Circuits, 2019.
D. Carney, Hook, A., Liu, Z., Taylor, J. M., and Zhao, Y., Ultralight dark matter detection with mechanical quantum sensors, 2019.
S. Chakrabarti, Childs, A. M., Hung, S. - H., Li, T., Wang, C., and Wu, X., Quantum algorithm for estimating volumes of convex bodies, 2019.
A. Bapat and Jordan, S., Bang-bang control as a design principle for classical and quantum optimization algorithms, Quantum Information & Computation , vol. 19, no. 5&6, pp. 424-446, 2019.
M. F. Maghrebi, Gorshkov, A. V., and Sau, J. D., Fluctuation-induced torque on a topological insulator out of thermal equilibrium, Phys. Rev. Lett., vol. 123, no. 055901, 2019.
R. Belyansky, Young, J. T., Bienias, P., Eldredge, Z., Kaufman, A. M., Zoller, P., and Gorshkov, A. V., Nondestructive cooling of an atomic quantum register via state-insensitive Rydberg interactions, 2019.
N. Yunger Halpern, Beverland, M. E., and Kalev, A., Equilibration to the non-Abelian thermal state in quantum many-body physics, 2019.
R. Yousefzadeh and O'Leary, D. P., A Probabilistic Framework and a Homotopy Method for Real-time Hierarchical Freight Dispatch Decisions, 2019.
K. Hietala, Rand, R., Hung, S. - H., Wu, X., and Hicks, M., A Verified Optimizer for Quantum Circuits, 2019.