1. Research
  2. Publications

Publications

2020
T. Li, Wang, C., Chakrabarti, S., and Wu, X., “Sublinear classical and quantum algorithms for general matrix games”, To appear in the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021), 2020.
N. J. Coble and Coudron, M., “Quasi-polynomial Time Approximation of Output Probabilities of Constant-depth, Geometrically-local Quantum Circuits”, Accepted to QIP 2021, 2020.
N. J. Coble and Coudron, M., “Quasi-polynomial time approximation of output probabilities of geometrically-local, shallow quantum circuits”, 2020.
N. - H. Chia, Chung, K. - M., and Yamakawa, T., “A Black-Box Approach to Post-Quantum Zero-Knowledge in Constant Rounds”, 2020.
T. Qian, Bringewatt, J., Boettcher, I., Bienias, P., and Gorshkov, A. V., “Optimal Measurement of Field Properties with Quantum Sensor Networks”, 2020.
F. Monteiro, Afek, G., Carney, D., Krnjaic, G., Wang, J., and Moore, D. C., “Search for composite dark matter with optically levitated sensors”, Phys. Rev. Lett. , vol. 125, no. 181102, 2020.
M. C. Tran, Deshpande, A., Guo, A. Y., Lucas, A., and Gorshkov, A. V., “Optimal state transfer and entanglement generation in power-law interacting systems”, 2020.
C. Shao and Liu, J. - P., “Quantum algorithms for the polynomial eigenvalue problems”, 2020.
P. Faist, Nezami, S., Albert, V. V., Salton, G., Pastawski, F., Hayden, P., and Preskill, J., “Continuous symmetries and approximate quantum error correction”, Phys. Rev. X, vol. 10, no. 041018, 2020.
M. Gullans, Krastanov, S., Huse, D. A., Jiang, L., and Flammia, S. T., “Quantum coding with low-depth random circuits”, 2020.
M. Kalinowski, Wang, Y., Bienias, P., Gullans, M., Ornelas-Huerta, D. P., Craddock, A. N., Rolston, S. L., Porto, J. V., Büchler, H. Peter, and Gorshkov, A. V., “Resonant enhancement of three-body loss between strongly interacting photons”, 2020.
M. Ciamp, Cojocaru, A., Kashefi, E., and Mantri, A., “Secure Quantum Two-Party Computation: Impossibility and Constructions”, 2020.
D. Carney, Ghosh, S., Krnjaic, G., and Taylor, J. M., “Gravitational Direct Detection of Dark Matter”, Phys. Rev. D, vol. 102, no. 072003, 2020.
O. Shtanko and Movassagh, R., “Unitary Subharmonic Response and Floquet Majorana Modes”, Phys. Rev. Lett., vol. 125, no. 086804, 2020.
J. Bringewatt, Sato, N., Melnitchouk, W., Qiu, J. - W., Steffens, F., and Constantinou, M., “Confronting lattice parton distributions with global QCD analysis”, 2020.
J. P. Zwolak, Kalantre, S. S., McJunkin, T., Weber, B. J., and Taylor, J. M., “Ray-based classification framework for high-dimensional data”, Proceedings of the Machine Learning and the Physical Sciences Workshop at NeurIPS 2020, Vancouver, Canada, 2020.
Y. Zhang, Fu, H., and Knill, E., “Efficient randomness certification by quantum probability estimation”, Phys. Rev. Research , vol. 2, no. 013016, 2020.
C. Makrides, Barker, D. S., Fedchak, J. A., Scherschligt, J., Eckel, S., and Tiesinga, E., “Collisions of room-temperature helium with ultracold lithium and the van der Waals bound state of HeLi”, Phys. Rev. A , vol. 101, no. 012702, 2020.
S. Singh, Alderete, C. H., Balu, R., Monroe, C., Linke, N. M., and Chandrashekar, C. M., “Universal one-dimensional discrete-time quantum walks and their implementation on near term quantum hardware”, 2020.
A. M. Childs and Wang, D., “Can graph properties have exponential quantum speedup?”, 2020.
R. Cosmic, Kawabata, K., Ashida, Y., Ikegami, H., Furukawa, S., Patil, P., Taylor, J. M., and Nakamura, Y., “Probing XY phase transitions in a Josephson junction array with tunable frustration”, 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.
A. Seif, Hafezi, M., and Jarzynski, C., “Machine learning the thermodynamic arrow of time”, Nat. Phys., pp. 1-9, 2020.
S. B. Nicholson, García-Pintos, L. Pedro, del Campo, A., and Green, J. R., “Time-information uncertainty relations in thermodynamics”, Nat. Phys., 2020.