Publications

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. A., Mink, A., and Knill, E., Experimental Low-Latency Device-Independent Quantum Randomness, Phys. Rev. Lett. , vol. 124, no. 010505, 2020.
S. Chakrabarti, Childs, A. M., Li, T., and Wu, X., Quantum algorithms and lower bounds for convex optimization, Quantum, vol. 4, no. 221, 2020.
H. B. Kaplan, Guo, L., Tan, W. Lin, De, A., Marquardt, F., Pagano, G., and Monroe, C., Many-Body Dephasing in a Trapped-Ion Quantum Simulator, 2020.
Y. Zhang, Fu, H., and Knill, E., Efficient randomness certification by quantum probability estimation, Phys. Rev. Research , vol. 2, no. 013016, 2020.
A. M. Childs and Wang, D., Can graph properties have exponential quantum speedup?, 2020.
R. Yousefzadeh and O'Leary, D. P., Auditing and Debugging Deep Learning Models via Decision Boundaries: Individual-level and Group-level Analysis, 2020.
A. N. Glaudell, Ross, N. J., and Taylor, J. M., Optimal Two-Qubit Circuits for Universal Fault-Tolerant Quantum Computation, 2020.
S. B. Nicholson, García-Pintos, L. Pedro, del Campo, A., and Green, J. R., Time-information uncertainty relations in thermodynamics, 2020.
2019
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.