From portfolio optimization to quantum blockchain and security: a systematic review of quantum computing in finance

Abha Satyavan Naik (), Esra Yeniaras (), Gerhard Hellstern (), Grishma Prasad () and Sanjay Kumar Lalta Prasad Vishwakarma ()
Additional contact information
Abha Satyavan Naik: VVM’s Shree Damodar College of Commerce and Economics
Esra Yeniaras: KEA - Copenhagen School of Design and Technology
Gerhard Hellstern: Baden Württemberg Cooperative State University (DHBW)
Grishma Prasad: Bloq Quantum
Sanjay Kumar Lalta Prasad Vishwakarma: IBM Quantum, Almaden Lab

Financial Innovation, 2025, vol. 11, issue 1, 1-67

Abstract: Abstract The rapid advancement of quantum computing has sparked a considerable increase in research attention to quantum technologies. These advances span fundamental theoretical inquiries into quantum information and the exploration of diverse applications arising from this evolving quantum computing paradigm. The scope of the related research is notably diverse. This paper consolidates and presents quantum computing research related to the financial sector. The finance applications considered in this study include portfolio optimization, fraud detection, and Monte Carlo methods for derivative pricing and risk calculation. In addition, we provide a comprehensive analysis of quantum computing’s applications and effects on blockchain technologies, particularly in relation to cryptocurrencies, which are central to financial technology research. As discussed in this study, quantum computing applications in finance are based on fundamental quantum physics principles and key quantum algorithms. This review aims to bridge the research gap between quantum computing and finance. We adopt a two-fold methodology, involving an analysis of quantum algorithms, followed by a discussion of their applications in specific financial contexts. Our study is based on an extensive review of online academic databases, search tools, online journal repositories, and whitepapers from 1952 to 2023, including CiteSeerX, DBLP, ResearchGate, Semantic Scholar, and scientific conference publications. We present state-of-the-art findings at the intersection of finance and quantum technology and highlight open research questions that will be valuable for industry practitioners and academicians as they shape future research agendas.

Keywords: Portfolio optimization; Fraud detection; Derivative pricing; Risk calculation; Monte carlo; Quantum blockchain; Quantum-resistant blockchain; Digital signature algorithms; Post-quantum cryptography; Security; Privacy-preserving blockchain; Quantum computing (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1186/s40854-025-00751-6 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:fininn:v:11:y:2025:i:1:d:10.1186_s40854-025-00751-6

Ordering information: This journal article can be ordered from
http://www.springer. ... nomics/journal/40589

DOI: 10.1186/s40854-025-00751-6

Access Statistics for this article

Financial Innovation is currently edited by J. Leon Zhao and Zongyi

More articles in Financial Innovation from Springer, Southwestern University of Finance and Economics
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().