Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: QUBO transformation using Eigenvalue Decomposition   Quadratic Unconstrained Binary Optimization (QUBO) is a general-purpose
modeling framework for combinatorial optimization problems and is a requirement
for quantum annealers. This paper utilizes the eigenvalue decomposition of the
underlying Q matrix to alter and improve the search process by extracting the
information from dominant eigenvalues and eigenvectors to implicitly guide the
search towards promising areas of the solution landscape. Computational results
on benchmark datasets illustrate the efficacy of our routine demonstrating
significant performance improvements on problems with dominant eigenvalues.

36
The categories of this paper are: cmp-lg
4
The categories of this paper are: cond-mat
23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th
28
The categories of this paper are: alg-geom
15
The categories of this paper are: nucl-ex
5
The categories of this paper are: gr-qc
14
The categories of this paper are: math-ph
9
The categories of this paper are: nlin
10
The categories of this paper are: q-bio
34
The categories of this paper are: chem-ph
24
The categories of this paper are: dg-ga
30
The categories of this paper are: q-alg
37
The categories of this paper are: supr-con
19
The categories of this paper are: eess
35
The categories of this paper are: mtrl-th