Michael Jarret

Jarret, M. ., Lackey, B. ., Liu, A. ., & Wan, K. . (2018). Quantum adiabatic optimization without heuristics. ArXiv. Retrieved from https://arxiv.org/abs/1810.04686 (Original work published October 2018)

Jarret, M. ., & Lackey, B. . (2017). Substochastic Monte Carlo Algorithms. ArXiv. Retrieved from https://arxiv.org/abs/1704.09014 (Original work published April 2017)

Jarret, M. ., & Jordan, S. . (2017). Modulus of continuity eigenvalue bounds for homogeneous graphs and convex subgraphs with applications to quantum Hamiltonians. Journal of Mathematical Analysis and Applications, 452, 1269–1290. http://doi.org/10.1016/j.jmaa.2017.03.030 (Original work published March 2017)

Jarret, M. ., Jordan, S. ., & Lackey, B. . (2016). Adiabatic optimization versus diffusion Monte Carlo. Physical Review A, 94, 042318. http://doi.org/10.1103/PhysRevA.94.042318 (Original work published July 2016)

Alagic, G. ., Jarret, M. ., & Jordan, S. . (2016). Yang-Baxter operators need quantum entanglement to distinguish knots. Journal of Physics A, 49, 075203. http://doi.org/10.1088/1751-8113/49/7/075203 (Original work published January 2016)

Jarret, M. ., & Jordan, S. . (2015). Adiabatic optimization without local minima. Quantum Information and Computation, 15, 181–199. Retrieved from http://arxiv.org/abs/1405.7552 (Original work published May 2015)

Jarret, M. ., & Jordan, S. . (2014). The Fundamental Gap for a Class of Schrödinger Operators on Path and Hypercube Graphs. Journal of Mathematical Physics, 55, 052104. http://doi.org/10.1063/1.4878120 (Original work published March 2014)