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Trapped Ion Quantum Computing

Quantum Computational Insurance and Actuarial Science

arXiv
Authors: Huan-Yu Liu, Xi-Ning Zhuang, Chao Wang, Qing-Song Li, Meng-Han Dou, Zhao-Yun Chen, Cheng Xue, Yu-Chun Wu, Guo-Ping Guo, Guang-Can Guo

Year

2024

Paper ID

37590

Status

Preprint

Abstract Read

~2 min

Abstract Words

145

Citations

N/A

Abstract

In recent years, quantum computation has been rapidly advancing, driving a technological revolution with significant potential across various sectors, particularly in finance. Despite this, the insurance industry, an essential tool for mitigating unforeseen risks and losses, has received limited attention. This paper provides an initial exploration into the realm of quantum computational insurance and actuarial science. After introducing key insurance models and challenges, we discuss quantum algorithms that can address insurance problems based on their mathematical nature. Our study includes experimental and numerical demonstrations of quantum applications in non-life insurance, life insurance, and reinsurance. Additionally, we explore the timeline for quantum insurance, the development of quantum-enhanced insurance products, and the challenges posed by quantum computational advancements. This work systematically constructs the connection between quantum computation and the insurance industry, enhancing the development of insurance while promoting the application of quantum computation to more realistic problems.

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2024 reference point for readers tracking recent quantum research.
  • In recent years, quantum computation has been rapidly advancing, driving a technological revolution with significant potential across various sectors, particularly in finance.

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