The Quantum Approximate Optimization Algorithm and the Sherrington-Kirkpatrick Model at Infinite Size

The Quantum Approximate Optimization Algorithm (QAOA) is a general-purpose algorithm for combinatorial optimization problems whose performance can only improve with the number of layers $p$. While QAOA holds promise as an algorithm that can be run on near-term quantum computers, its computational po...

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Bibliographic Details
Main Authors: Edward Farhi, Jeffrey Goldstone, Sam Gutmann, Leo Zhou
Format: Article
Language:English
Published: Verein zur Förderung des Open Access Publizierens in den Quantenwissenschaften 2022-07-01
Series:Quantum
Online Access:https://quantum-journal.org/papers/q-2022-07-07-759/pdf/