Introduction

Catastrophe insurance requires accurate tail-risk assessment (probability of extreme catastrophes). Quantum-inspired algorithms improve Monte Carlo efficiency enabling more robust tail-risk estimation.

Algorithm Approach and Efficiency

Quantum-inspired sampling efficiently explores rare event distributions.

Risk Assessment Improvements

Improved tail-risk estimation supports catastrophe bond pricing and reinsurance strategy.

Conclusion

Quantum-inspired algorithms improve catastrophe risk assessment efficiency.