Postprocessing Variationally Scheduled Quantum Algorithm for Constrained Combinatorial Optimization Problems

Postprocessing Variationally Scheduled Quantum Algorithm for Constrained Combinatorial Optimization Problems

In this article, we propose a postprocessing variationally scheduled quantum algorithm (pVSQA) for solving constrained combinatorial optimization problems (COPs). COPs are typically transformed into ground-state search problems of the Ising model on a quantum annealer or gate-based quantum device. V...

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Bibliographic Details
Main Authors: Tatsuhiko Shirai, Nozomu Togawa
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Transactions on Quantum Engineering
Subjects:
Combinatorial optimization problem (COP)
Ising model
metaheuristics
quantum device
variational quantum algorithm
Online Access:https://ieeexplore.ieee.org/document/10472069/

Internet

https://ieeexplore.ieee.org/document/10472069/

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