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Title: Multi-round QAOA and advanced mixers on a trapped-ion quantum computer
Abstract Combinatorial optimization problems on graphs have broad applications in science and engineering. The quantum approximate optimization algorithm (QAOA) is a method to solve these problems on a quantum computer by applying multiple rounds of variational circuits. However, there exist several challenges limiting the application of QAOA to real-world problems. In this paper, we demonstrate on a trapped-ion quantum computer that QAOA results improve with the number of rounds for multiple problems on several arbitrary graphs. We also demonstrate an advanced mixing Hamiltonian that allows sampling of all optimal solutions with predetermined weights. Our results are a step toward applying quantum algorithms to real-world problems.  more » « less
Award ID(s):
1848304
PAR ID:
10441811
Author(s) / Creator(s):
; ; ; ; ; ; ;
Date Published:
Journal Name:
Quantum Science and Technology
Volume:
8
Issue:
1
ISSN:
2058-9565
Page Range / eLocation ID:
015007
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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