• Corpus ID: 249642678

An entanglement perspective on the quantum approximate optimization algorithm

@inproceedings{Dupont2022AnEP,
  title={An entanglement perspective on the quantum approximate optimization algorithm},
  author={Maxime Dupont and Nicolas Didier and Mark Hodson and Joel E. Moore and Matthew Reagor},
  year={2022}
}
Many quantum algorithms seek to output a specific bitstring solving the problem of interest—or a few if the solution is degenerate. It is the case for the quantum approximate optimization algorithm (QAOA) in the limit of large circuit depth, which aims to solve quadratic unconstrained binary optimization problems. Hence, the expected final state for these algorithms is either a product state or a low-entangled superposition involving a few bitstrings. What happens in between the initial N-qubit… 
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