From Portfolio Optimization to Quantum Blockchain and Security: A Systematic Review of Quantum Computing in Finance
Abha Naik, Esra Yeniaras, Gerhard Hellstern, Grishma Prasad, Sanjay, Kumar Lalta Prasad Vishwakarma

TL;DR
This systematic review explores how quantum computing impacts finance, covering portfolio optimization, blockchain security, and quantum-resistant systems, highlighting recent advances, vulnerabilities, and future directions for integrating quantum tech into financial applications.
Contribution
It provides a comprehensive overview of quantum computing applications in finance and blockchain, addressing security vulnerabilities and quantum-resistant solutions, bridging the gap between quantum tech and financial systems.
Findings
Quantum algorithms enhance portfolio optimization and risk calculation.
Quantum vulnerabilities threaten blockchain security, necessitating quantum-resistant protocols.
Quantum infrastructure is essential for future secure blockchain implementations.
Abstract
In this paper, we provide an overview of the recent work in the quantum finance realm from various perspectives. The applications in consideration are Portfolio Optimization, Fraud Detection, and Monte Carlo methods for derivative pricing and risk calculation. Furthermore, we give a comprehensive overview of the applications of quantum computing in the field of blockchain technology which is a main concept in fintech. In that sense, we first introduce the general overview of blockchain with its main cryptographic primitives such as digital signature algorithms, hash functions, and random number generators as well as the security vulnerabilities of blockchain technologies after the merge of quantum computers considering Shor's quantum factoring and Grover's quantum search algorithms. We then discuss the privacy preserving quantum-resistant blockchain systems via threshold signatures,…
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Taxonomy
TopicsBlockchain Technology Applications and Security · Quantum Computing Algorithms and Architecture · Benford’s Law and Fraud Detection
