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Results

Optimization Solver

See how Quantum Inspired Evolutionary Optimization Enhances Satellite Placement

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Challenges

Optimizing the placement of 12 satellites across 4 constellations while minimizing computational complexity for maximum coverage
Achieving faster convergence compared to classical Optimization algorithms
Managing orbital constraints and inter-satellite dependencies efficiently

Results

Quantum optimization using 33 qubits achieved 5x faster convergence than traditional methods
Improved scheduling efficiency with optimized satellite distribution for maximum coverage
Reduced computational overhead for large-scale constellation management

QIEO improves optimization results

5x faster convergence

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Improved coverage

Estimated 33 Qubits

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