Quantum Approximate Bayesian Optimization Algorithms With Two Mixers and Uncertainty Quantification

The searching efficiency of the quantum approximate optimization algorithm is dependent on both the classical and quantum sides of the algorithm. Recently, a quantum approximate Bayesian optimization algorithm (QABOA) that includes two mixers was developed, where surrogate-based Bayesian optimizatio...

Full description

Bibliographic Details
Main Authors: Jungin E. Kim, Yan Wang
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Transactions on Quantum Engineering
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10296859/

Similar Items