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Quantum methods for efficient satellite imaging

Published on:

8 April 2024

Primary Category:

Quantum Physics

Paper Authors:

Antón Makarov,

Carlos Pérez-Herradón,

Giacomo Franceschetto,

Márcio M. Taddei,

Eneko Osaba,

Paloma del Barrio,

Esther Villar-Rodriguez,

Izaskun Oregi

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Key Details

Tested quantum annealing and quantum approximate optimization algorithms

Used realistic satellite mission planning problem instances

Performance declines with growing complexity

Graph connectivity impacts optimization quality

AI generated summary

Quantum methods for efficient satellite imaging

This paper explores using quantum computing to optimize satellite imaging scheduling. It tests quantum annealing and quantum approximate optimization on realistic satellite data. Key findings are current quantum hardware can solve small-medium instances fairly well, but performance declines as complexity grows. Graph structure impacts results. Overall this establishes baseline capabilities, guiding research.

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