Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Optimizing Schedules for Quantum Annealing   Classical and quantum annealing are two heuristic optimization methods that
search for an optimal solution by slowly decreasing thermal or quantum
fluctuations. Optimizing annealing schedules is important both for performance
and fair comparisons between classical annealing, quantum annealing, and other
algorithms. Here we present a heuristic approach for the optimization of
annealing schedules for quantum annealing and apply it to 3D Ising spin glass
problems. We find that if both classical and quantum annealing schedules are
similarly optimized, classical annealing outperforms quantum annealing for
these problems when considering the residual energy obtained in slow annealing.
However, when performing many repetitions of fast annealing, simulated quantum
annealing is seen to outperform classical annealing for our benchmark problems.

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The categories of this paper are: q-fin
12
The categories of this paper are: nucl-th
37
The categories of this paper are: supr-con
10
The categories of this paper are: q-bio
36
The categories of this paper are: cmp-lg
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
7
The categories of this paper are: hep-th
1
The categories of this paper are: cs
20
The categories of this paper are: acc-phys
28
The categories of this paper are: alg-geom
5
The categories of this paper are: gr-qc
3
The categories of this paper are: physics
27
The categories of this paper are: comp-gas
33
The categories of this paper are: plasm-ph
34
The categories of this paper are: chem-ph