1. Research
  2. Publications

Publications

2023
F. Setiawan, Gramolin, A. V., Matekole, E. S., Krovi, H., and Taylor, J. M., “Accurate and Honest Approximation of Correlated Qubit Noise”, 2023.
Y. Xu, Wang, Y., and Albert, V. V., “Clifford operations and homological codes for rotors and oscillators”, 2023.
E. Onorati, Rouzé, C., França, D. Stilck, and Watson, J. D., “Provably Efficient Learning of Phases of Matter via Dissipative Evolutions”, 2023.
J. Leng, Zheng, Y., and Wu, X., “A quantum-classical performance separation in nonconvex optimization”, 2023.
N. Mueller, Carolan, J., Connelly, A., Davoudi, Z., Dumitrescu, E. F., and Yeter-Aydeniz, K., “Quantum computation of dynamical quantum phase transitions and entanglement tomography in a lattice gauge theory”, 2023.
Y. - K. Liu, “An Uncertainty Principle for the Curvelet Transform, and the Infeasibility of Quantum Algorithms for Finding Short Lattice Vectors”, 2023.
A. Schuckert, Katz, O., Feng, L., Crane, E., De, A., Hafezi, M., Gorshkov, A. V., and Monroe, C., “Observation of a finite-energy phase transition in a one-dimensional quantum simulator”, 2023.
P. Niroula, Gopalakrishnan, S., and Gullans, M., “Thresholds in the Robustness of Error Mitigation in Noisy Quantum Dynamics”, 2023.
N. J. Coble, Coudron, M., Nelson, J., and Nezhadi, S. Sajjad, “Hamiltonians whose low-energy states require $\Omega(n)$ T gates”, 2023.
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.
D. R. M. Arvidsson-Shukur, McConnell, A. G., and Halpern, N. Yunger, “Nonclassical Advantage in Metrology Established via Quantum Simulations of Hypothetical Closed Timelike Curves”, Phys. Rev. Lett., vol. 131, p. 150202, 2023.
V. Iyer, Jain, S. P., Kovacs-Deak, M., Kumar, V. M., Schaeffer, L., Wang, D., and Whitmeyer, M., “On the Rational Degree of Boolean Functions and Applications”, 2023.
E. Onorati, Rouzé, C., França, D. Stilck, and Watson, J. D., “Efficient learning of ground & thermal states within phases of matter”, 2023.
S. Majidy, Lasek, A., Huse, D. A., and Halpern, N. Yunger, “Non-Abelian symmetry can increase entanglement entropy”, Physical Review B, vol. 107, 2023.
D. Carney and Taylor, J. M., “Strongly incoherent gravity”, 2023.
A. M. Childs, Coudron, M., and Gilani, A. Shiraz, “Quantum Algorithms and the Power of Forgetting”, 14th Innovations in Theoretical Computer Science Conference (ITCS 2023), vol. 251, p. 37:1--37:22, 2023.
2022
D. An, Fang, D., and Lin, L., “Time-dependent Hamiltonian Simulation of Highly Oscillatory Dynamics and Superconvergence for Schrödinger Equation”, Quantum, vol. 6, p. 690, 2022.
Y. Zhou, Xiao, B., Da Li, M. -, Zhao, Q., Yuan, Z. - S., Ma, X., and Pan, J. - W., “A scheme to create and verify scalable entanglement in optical lattice”, npj Quantum Information, vol. 8, 2022.
A. Vrajitoarea, Belyansky, R., Lundgren, R., Whitsitt, S., Gorshkov, A. V., and Houck, A. A., “Ultrastrong light-matter interaction in a photonic crystal”, 2022.
L. Lewis, Zhu, D., Gheorghiu, A., Noel, C., Katz, O., Harraz, B., Wang, Q., Risinger, A., Feng, L., Biswas, D., Egan, L., Vidick, T., Cetina, M., and Monroe, C., “Experimental Implementation of an Efficient Test of Quantumness”, 2022.
Z. - P. Cian, Hafezi, M., and Barkeshli, M., “Extracting Wilson loop operators and fractional statistics from a single bulk ground state”, 2022.
T. J. Sewell and White, C. David, “Mana and thermalization: Probing the feasibility of near-Clifford Hamiltonian simulation”, Physical Review B, vol. 106, 2022.
F. Wilde, Kshetrimayum, A., Roth, I., Hangleiter, D., Sweke, R., and Eisert, J., “Scalably learning quantum many-body Hamiltonians from dynamical data”, 2022.
A. A. Lasek, Barnes, C. H. W., and Ferrus, T., “Isolation and manipulation of a single-donor detector in a silicon quantum dot”, Phys. Rev. B, vol. 106, p. 125423, 2022.
H. - Y. Huang, Kueng, R., Torlai, G., Albert, V. V., and Preskill, J., “Provably efficient machine learning for quantum many-body problems”, Science, vol. 377, 2022.