Quantum Computing in Financial Modeling: Opportunities and Challenges

Authors

  • Jamie Allen PhD
  • Kim Jackson Prof.
  • Pat Smith Dr.

Keywords:

Quantum Computing, Financial Modeling, Risk Analysis, Portfolio Optimization, Finance Industry

Abstract

This paper explores the application of quantum computing in financial modeling, analyzing its potential to transform the finance industry. By addressing complex problems such as risk analysis and portfolio optimization, quantum computing offers unprecedented computational power. The study also discusses the challenges and limitations of current quantum technologies in practical financial applications.

Author Biographies

Jamie Allen, PhD

PhD
ETH Zurich
Rämistrasse 101, 8092 Zürich, Switzerland

Kim Jackson, Prof.

Prof.
National University of Singapore
21 Lower Kent Ridge Rd, Singapore 119077

Pat Smith, Dr.

Dr.
University of Copenhagen
Nørregade 10, 1165 København, Denmark

References

Kumar, Nitin, and Vipin Kataria. "Enhanced Sentiment Classification using a Multi-layered Stacked Ensemble Architecture."

KUMAR, Nitin; KATARIA, Vipin. Enhanced Sentiment Classification using a Multi-layered Stacked Ensemble Architecture.

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Published

2024-09-25

Issue

Vol. 2 No. 3 (2024)

Section

Articles