# 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…

## One Citation

Bang-bang algorithms for quantum many-body ground states: a tensor network exploration

- Physics
- 2022

We use matrix product techniques to investigate the performance of two algorithms for obtaining the ground state of a quantum many-body Hamiltonian H = H A + H B in inﬁnite systems. The ﬁrst…

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