Publications

Journal Article
N. Bao, Cao, C. J., and Su, V. Paul, Magic State Distillation from Entangled States, 2021.
S. Guo, Fritsch, A. R., Greenberg, C., Spielman, I. B., and Zwolak, J. P., Machine-learning enhanced dark soliton detection in Bose-Einstein condensates, Mach. Learn.: Sci. Technol. , vol. 2, p. 035020, 2021.
T. Zolkin, Kharkov, Y., and Nagaitsev, S., Machine-assisted discovery of integrable symplectic mappings, 2022.
A. Seif, Hafezi, M., and Jarzynski, C., Machine learning the thermodynamic arrow of time, Nat. Phys., pp. 1-9, 2020.
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.
W. Zhong, Gold, J. M., Marzen, S., England, J. L., and Halpern, N. Yunger, Machine learning outperforms thermodynamics in measuring how well a many-body system learns a drive, Scientific Reports, vol. 11, 2021.
A. Seif, Landsman, K. A., Linke, N. M., Figgatt, C., Monroe, C., and Hafezi, M., Machine learning assisted readout of trapped-ion qubits, J. Phys. B: At. Mol. Opt. Phys., vol. 51, 2018.
Z. Ji, Chen, J., Wei, Z., and Ying, M., The LU-LC conjecture is false, 2007.
A. M. Childs, Haselgrove, H. L., and Nielsen, M. A., Lower bounds on the complexity of simulating quantum gates, Physical Review A, vol. 68, no. 5, 2003.
L. Pedro García-Pintos, Brady, L. T., Bringewatt, J., and Liu, Y. - K., Lower Bounds on Quantum Annealing Times, Phys. Rev. Lett., vol. 130, no. 140601, 2023.
J. M. Taylor, Marcus, C. M., and Lukin, M. D., Long-lived memory for mesoscopic quantum bits, Physical Review Letters, vol. 90, no. 20, 2003.
A. Chotia, Neyenhuis, B., Moses, S. A., Yan, B., Covey, J. P., Foss-Feig, M., Rey, A. Maria, Jin, D. S., and Ye, J., Long-lived dipolar molecules and Feshbach molecules in a 3D optical lattice , Physical Review Letters, vol. 108, no. 8, 2012.
Z. Davoudi, Detmold, W., Fu, Z., Grebe, A. V., Jay, W., Murphy, D., Oare, P., Shanahan, P. E., and Wagman, M. L., Long-Distance Nuclear Matrix Elements for Neutrinoless Double-Beta Decay from Lattice QCD, 2024.
D. Bluvstein, Evered, S. J., Geim, A. A., Li, S. H., Zhou, H., Manovitz, T., Ebadi, S., Cain, M., Kalinowski, M., Hangleiter, D., J. Ataides, P. Bonilla, Maskara, N., Cong, I., Gao, X., Rodriguez, P. Sales, Karolyshyn, T., Semeghini, G., Gullans, M., Greiner, M., Vuletic, V., and Lukin, M. D., Logical quantum processor based on reconfigurable atom arrays, Nature, 2023.
K. Klocke, White, C. David, and Buchhold, M., Localization crossover and subdiffusive transport in a classical facilitated network model of a disordered, interacting quantum spin chain, 2021.
F. Liu, Yang, Z. - C., Bienias, P., Iadecola, T., and Gorshkov, A. V., Localization and criticality in antiblockaded 2D Rydberg atom arrays, 2020.
S. Xu and Swingle, B., Locality, Quantum Fluctuations, and Scrambling, Phys. Rev. X , vol. 9, no. 031048, 2019.
S. S. Bullock and O'Leary, D. P., Locality Bounds on Hamiltonians for Stabilizer Codes, Quantum Information and Computation, vol. 9, 2009.
M. C. Tran, Ehrenberg, A., Guo, A. Y., Titum, P., Abanin, D. A., and Gorshkov, A. V., Locality and Heating in Periodically Driven, Power-law Interacting Systems, Phys. Rev. A , vol. 100, no. 052103, 2019.
M. C. Tran, Guo, A. Y., Su, Y., Garrison, J. R., Eldredge, Z., Foss-Feig, M., Childs, A. M., and Gorshkov, A. V., Locality and digital quantum simulation of power-law interactions, Phys. Rev. X 9, 031006, vol. 9, no. 031006, 2019.
H. Fu and Miller, C., Local randomness: Examples and application, Phys. Rev. A, no. 97, p. 032324, 2018.
N. J. Coble, Coudron, M., Nelson, J., and Nezhadi, S. Sajjad, Local Hamiltonians with no low-energy stabilizer states, 2023.
Y. - K. Liu, The Local Consistency Problem for Stoquastic and 1-D Quantum Systems, 2007.
J. Haferkamp, Faist, P., Kothakonda, N. B. T., Eisert, J., and Halpern, N. Yunger, Linear growth of quantum circuit complexity, Nat. Phys., 2022.
D. An, Liu, J. - P., and Lin, L., Linear combination of Hamiltonian simulation for non-unitary dynamics with optimal state preparation cost, Phys. Rev. Lett., vol. 131, no. 150603, 2023.