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Journal Article
M. Jarret, Jordan, S. P., and Lackey, B., “Adiabatic optimization versus diffusion Monte Carlo”, Physical Review A, vol. 94, p. 042318, 2016.
M. Jarret and Jordan, S. P., “Adiabatic optimization without local minima”, Quantum Information and Computation, vol. 15, no. 3-4, pp. 181-199, 2015.
J. Bringewatt and Jarret, M., “Effective gaps are not effective: quasipolynomial classical simulation of obstructed stoquastic Hamiltonians”, 2020.
M. Jarret and Jordan, S. P., “The Fundamental Gap for a Class of Schrödinger Operators on Path and Hypercube Graphs”, Journal of Mathematical Physics, vol. 55, no. 5, p. 052104, 2014.
M. Jarret and Jordan, S. P., “Modulus of continuity eigenvalue bounds for homogeneous graphs and convex subgraphs with applications to quantum Hamiltonians”, Journal of Mathematical Analysis and Applications, vol. 452, no. 2, pp. 1269-1290, 2017.
M. Jarret, Lackey, B., Liu, A., and Wan, K., “Quantum adiabatic optimization without heuristics”, 2018.
J. Bringewatt, Jarret, M., and Mooney, T. C., “On the stability of solutions to Schrödinger's equation short of the adiabatic limit”, 2023.
M. Jarret and Lackey, B., “Substochastic Monte Carlo Algorithms”, 2017.
G. Alagic, Jarret, M., and Jordan, S. P., “Yang-Baxter operators need quantum entanglement to distinguish knots”, Journal of Physics A, vol. 49, no. 7, p. 075203, 2016.