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J. Bringewatt, Kunjummen, J., and Mueller, N., Randomized measurement protocols for lattice gauge theories, Quantum, vol. 8, p. 1300, 2024.
J. Bringewatt, Boettcher, I., Niroula, P., Bienias, P., and Gorshkov, A. V., Protocols for estimating multiple functions with quantum sensor networks: Geometry and performance, Physical Review Research, vol. 3, 2021.
J. Bringewatt, Ehrenberg, A., Goel, T., and Gorshkov, A. V., Optimal function estimation with photonic quantum sensor networks, Physical Review Research, vol. 6, 2024.
J. Bringewatt, Sato, N., Melnitchouk, W., Qiu, J. - W., Steffens, F., and Constantinou, M., Confronting lattice parton distributions with global QCD analysis, 2020.
J. Bringewatt and Davoudi, Z., Parallelization techniques for quantum simulation of fermionic systems, 2023.
J. Bringewatt and Jarret, M., Effective gaps are not effective: quasipolynomial classical simulation of obstructed stoquastic Hamiltonians, 2020.
J. Bringewatt, Jarret, M., and Mooney, T. C., On the stability of solutions to Schrödinger's equation short of the adiabatic limit, 2023.
J. Bringewatt, Dorland, W., and Jordan, S. P., Polynomial Time Algorithms for Estimating Spectra of Adiabatic Hamiltonians, Phys. Rev. A, vol. 100, no. 032336, 2019.
J. Bringewatt and Brady, L. T., Simultaneous Stoquasticity, Phys. Rev. A, vol. 105, no. 062601, 2022.
J. Bringewatt, Dorland, W., Jordan, S. P., and Mink, A., Diffusion Monte Carlo Versus Adiabatic Computation for Local Hamiltonians, Physical Review A, vol. 97, no. 2, p. 022323, 2018.