Using Quantum Annealing to Solve Large-Scale Optimization Problems in Logistics and Scheduling

In planning and scheduling, large-scale optimization problems often have complex limits and a lot of factors, which makes them hard to answer with standard methods. Quantum annealing has become a hopeful way to deal with these problems because it can quickly look into a lot of possible solutions. Th...

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Bibliographic Details

Published in:	International Conference on Emerging Smart Computing and Informatics (Online) pp. 1 - 6
Main Author:	Kumar, Sandeep
Format:	Conference Proceeding
Language:	English
Published:	IEEE 05.03.2025
Subjects:	Annealing Computational modeling Linear programming Logistics Optimization Processor scheduling Quantum annealing Quantum Computing QUBO Schedules Scheduling Simulated annealing Transportation
ISSN:	2996-1815
Online Access:	Get full text
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