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Michael Jarret
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A
M. Jarret
,
Jordan, S. P.
, and
Lackey, B.
,
“
Adiabatic optimization versus diffusion Monte Carlo
”
,
Physical Review A
, vol. 94, p. 042318, 2016.
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M. Jarret
and
Jordan, S. P.
,
“
Adiabatic optimization without local minima
”
,
Quantum Information and Computation
, vol. 15, no. 3-4, pp. 181-199, 2015.
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E
J. Bringewatt
and
Jarret, M.
,
“
Effective gaps are not effective: quasipolynomial classical simulation of obstructed stoquastic Hamiltonians
”
, 2020.
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F
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.
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M
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.
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Q
M. Jarret
,
Lackey, B.
,
Liu, A.
, and
Wan, K.
,
“
Quantum adiabatic optimization without heuristics
”
, 2018.
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S
J. Bringewatt
,
Jarret, M.
, and
Mooney, T. C.
,
“
On the stability of solutions to Schrödinger's equation short of the adiabatic limit
”
, 2023.
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M. Jarret
and
Lackey, B.
,
“
Substochastic Monte Carlo Algorithms
”
, 2017.
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Y
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.
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