Parameter Setting Heuristics Make the Quantum Approximate Optimization Algorithm Suitable for the Early Fault-Tolerant Era
Quantum Approximate Optimization Algorithm (QAOA) is one of the most promising quantum heuristics for combinatorial optimization. While QAOA has been shown to perform well on small-scale instances and to provide an asymptotic speedup over state-of-the-art classical algorithms for some problems, faul...
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Main Authors | , , , , , , |
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Format | Journal Article |
Language | English |
Published |
18.08.2024
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Subjects | |
Online Access | Get full text |
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