Connection between single-layer quantum approximate optimization algorithm interferometry and thermal distribution sampling

Connection between single-layer quantum approximate optimization algorithm interferometry and thermal distribution sampling

The quantum approximate optimization algorithm (QAOA) was originally proposed to find approximate solutions to combinatorial optimization problems on quantum computers. However, the algorithm has also attracted interest for sampling purposes since it was theoretically demonstrated under reasonable c...

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Bibliographic Details
Main Authors: Pablo Díez-Valle, Diego Porras, Juan José García-Ripoll
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-02-01
Series:Frontiers in Quantum Science and Technology
Subjects:
quantum computing
quantum algorithms
quantum optimization
adiabatic computing
variational algorithms
statistical physics
Online Access:https://www.frontiersin.org/articles/10.3389/frqst.2024.1321264/full

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