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Using quantum computing to optimize delivery logistics

Published on:

7 February 2024

Primary Category:

Optimization and Control

Paper Authors:

Niu Chence,

Purvi Rastogi,

Jaikishan Soman,

Kausik Tamuli,

Vinayak V. Dixit

Bullets

Key Details

Formulates mixed integer programming model to minimize delivery costs

Compares quantum annealing to CPLEX solver across problem sizes

Quantum annealing faster and better quality when over 50,000 variables

Advantage diminishes above 150,000 variables

Holds promise for large logistics optimization

AI generated summary

Using quantum computing to optimize delivery logistics

This paper explores using quantum annealing to solve vehicle routing problems, comparing performance against traditional methods. Findings show quantum annealing improved solution quality and efficiency for large-scale logistics issues.

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