Quantum AI in Finance: Predicting the Unpredictable
- Title
- Quantum AI in Finance: Predicting the Unpredictable
- Creator
- Kulshrestha, Nitin
- Description
- Navigating modern global financial markets becomes increasingly intricate, which makes the traditional approaches inadequate in processing large volumes of data in real time. This chapter presents Quantum Artificial Intelligence (QAI) and its capabilities in predicting and mitigating unanticipated financial shocks. With the integration of quantum computings parallel processing capabilities and AIs adaptive learning, QAI makes it possible for institutions to model market nonlinearities, scope large- scale simulations, and detect faint signals that are commonly overlooked by classical systems. The scope of this chapter illustrates the impact of QAI in real- time risk evaluation, fraud identification, portfolio management, and macroeconomic prediction and modeling. Focus is given to quantum- boosted machine learning models that are designed to simulate black swan events and other high- dimensional datasets. 2026 by IGI Global Scientific Publishing. All rights reserved.
- Source
- Optimizing Business Operations With Quantum AI;pp.213-233
- Date
- 01-01-2026
- Publisher
- IGI Global
- Coverage
- Kulshrestha N., Christ University, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833734349-5; 979-833734347-1;
- Format
- online
- Language
- English
- Type
- Book chapter
Collection
Citation
Kulshrestha, Nitin, “Quantum AI in Finance: Predicting the Unpredictable,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/24781.
