Quantum Computational Insurance and Actuarial Science

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.

References in corpus (26)

• Quantum Computing in the NISQ era and beyond
• Supplementary information for "Quantum supremacy using a programmable superconducting processor"
• Quantum algorithm for solving linear systems of equations
• Variational Quantum Algorithms
• Quantum computational chemistry
• Adiabatic Quantum Computing
• Predicting Many Properties of a Quantum System from Very Few Measurements
• Quantum random access memory
• Quantum computing for finance: overview and prospects
• Building logical qubits in a superconducting quantum computing system
• Quantum Error Mitigation
• Roads towards fault-tolerant universal quantum computation
• Quantum Computing for Finance: State of the Art and Future Prospects
• Quantum speedup of Monte Carlo methods
• Reverse Quantum Annealing Approach to Portfolio Optimization Problems
• Simulation methods for open quantum many-body systems
• The prospects of quantum computing in computational molecular biology
• Challenges and Opportunities of Near-Term Quantum Computing Systems
• Solving the Optimal Trading Trajectory Problem Using a Quantum Annealer
• Quantum arithmetic with the Quantum Fourier Transform
• Quantum simulations of materials on near-term quantum computers
• Quantum State Preparation with Optimal Circuit Depth: Implementations and Applications
• Quantum Computing at the Frontiers of Biological Sciences
• Quantum-enhanced Markov chain Monte Carlo
• Quantum Singular Value Decomposer
• Quantum Encoding and Analysis on Continuous Time Stochastic Process with Financial Applications