Jake Bringewatt | QuICS

Graduate Student (2018-2024)

jbringew@terpmail.umd.edu

3303 Atlantic Building

Jake Bringewatt was a QuICS graduate student and a Department of Energy Computational Science Graduate Fellow. His interests include quantum adiabatic computation and applications of the tools of quantum information to understanding physical systems. Jake held a QuICS Lanczos Graduate Fellowship 2018 to 2020. His adviser was Alexey Gorshkov. Jake received his PhD from the University of Maryland in 2024. After QuICS he moved on to Harvard Quantum Initiative (HQI) as a Postdoctoral Fellow.

Publications

2024

J. Bringewatt, Steffen, Z., Ritter, M. A., Ehrenberg, A., Wang, H., Palmer, B. S., Kollár, A. J., Gorshkov, A. V., and García-Pintos, L. Pedro, “Generalized geometric speed limits for quantum observables”, 2024.

L. Pedro García-Pintos, O'Leary, T., Biswas, T., Bringewatt, J., Cincio, L., Brady, L. T., and Liu, Y. - K., “Resilience-Runtime Tradeoff Relations for Quantum Algorithms”, 2024.

Y. - X. Wang, Bringewatt, J., Seif, A., Brady, A. J., Oh, C., and Gorshkov, A. V., “Exponential entanglement advantage in sensing correlated noise”, 2024.

L. Pedro García-Pintos, Bharti, K., Bringewatt, J., Dehghani, H., Ehrenberg, A., Halpern, N. Yunger, and Gorshkov, A. V., “Estimation of Hamiltonian parameters from thermal states”, 2024.

2023

A. Ehrenberg, Bringewatt, J., and Gorshkov, A. V., “Minimum-entanglement protocols for function estimation”, Physical Review Research, vol. 5, 2023.

J. Bringewatt and Davoudi, Z., “Parallelization techniques for quantum simulation of fermionic systems”, 2023.

J. Bringewatt, Jarret, M., and Mooney, T. C., “On the stability of solutions to Schrödinger's equation short of the adiabatic limit”, 2023.

J. D. Watson, Bringewatt, J., Shaw, A. F., Childs, A. M., Gorshkov, A. V., and Davoudi, Z., “Quantum Algorithms for Simulating Nuclear Effective Field Theories”, 2023.

2022

J. Bringewatt and Brady, L. T., “Simultaneous Stoquasticity”, Phys. Rev. A, vol. 105, no. 062601, 2022.

2021

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.

T. C. Mooney, Bringewatt, J., and Brady, L. T., “Lefschetz Thimble Quantum Monte Carlo for Spin Systems”, 2021.

2020

J. Bringewatt and Jarret, M., “Effective gaps are not effective: quasipolynomial classical simulation of obstructed stoquastic Hamiltonians”, 2020.

T. Qian, Bringewatt, J., Boettcher, I., Bienias, P., and Gorshkov, A. V., “Optimal Measurement of Field Properties with Quantum Sensor Networks”, 2020.

J. Bringewatt, Sato, N., Melnitchouk, W., Qiu, J. - W., Steffens, F., and Constantinou, M., “Confronting lattice parton distributions with global QCD analysis”, 2020.

2019

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.

2018

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.

K. Pushkin, Akerlof, C., Anbajagane, D., Armstrong, J., Arthurs, M., Bringewatt, J., Edberg, T., Hall, C., Lei, M., Raymond, R., Reh, M., Saini, D., Sander, A., Schaefer, J., Seymour, D., Swanson, N., Wang, Y., and Lorenzon, W., “Study of radon reduction in gases for rare event search experiments”, 2018.