Dublin, December 22, 2022 /PRNewswire/ — Quantum Computing Applications in the Financial Services Industry: End-User Cases and Market Forecasts report added of ResearchAndMarkets.com Recruitment.
This report discusses the opportunities, challenges, and deployment options surrounding the application of quantum computing in the financial services sector.
Explore the role quantum computing plays in portfolio management and construction, currency arbitrage, fraud detection, trade settlement, analytics-driven CRM, credit scoring, risk modeling, tax loss collection, and derivative pricing. To do. The report also explores the role of quantum computing in accelerating the use of AI and machine learning in the financial services sector.
This report provides a 10-year forecast of how much money the banking and financial services sector will spend on quantum computing over the next decade, and the evolution of quantum computing in the financial services sector from its current “proof of concept” stage to widespread adoption. are discussing. Used for about 10 years.
This report focuses on smaller and cheaper quantum computers that can be used, for example, in network computer roles in small financial institutions and transaction networks.
In late 2019, Bank of America claimed that quantum computing was “as revolutionary for the 2020s as smartphones were for the 2010s.”goldman sachs quoted January 2020 Quantum computing could become a key technology in the financial services sector, he said.
Other major banks are also working on quantum computing, including JP Morgan, Citigroup, Wells Fargo, and European and Asian banks. Insurance companies, credit card companies, financial consultants and hedge funds are also interested. Many financial services firms have already hired significant personnel experienced with the overlap of quantum technology and financial industry activity.
The report concludes with a review of current plans for what the leading full-stack quantum computers are doing in the financial services sector. It also focuses on marketing strategies for marketing to banks and other financial institutions about the use of quantum computing.
Chapter 1: Background of this Report
1.1 Executive Summary – Quantum Computing in Financial Services
1.2 Prioritize business over research
1.3 We have the math, but no hardware
1.4 Methodology of this report
1.4.1 Prediction method
Chapter 2: Quantum Computing in Financial Services: Evolving Attitudes and Markets
2.1 Attitudes towards quantum in the financial services industry
2.2 Changes in market and deployment patterns of quantum computing for financial services
2.2.1 Notes on Regulation and Quantum Computing Deployment
2.3 IT Aspects for the Deployment of Quantum Computing in Financial Services
2.3.1 Hardware aspects
2.3.2 Software aspects
2.3.3 Impact of probabilistic approaches on coding
2.3.4 Cloud Provisioning Challenges
2.3.5 Batch nature of quantum
2.4 Key points of this chapter
Chapter 3: Quantum Computing in Financial Services – Use Cases
3.1 Use of Quantum Computing in Financial Services
3.1.1 Quantum machine learning
3.2 Trade settlement
3.2.1 High Frequency Trading (HFT)
3.3 Risk modeling
3.4 Accelerating Artificial Intelligence/Machine Learning (AI/ML)
3.5 Building a Goal-Based Investment (Static) Portfolio
3.6 Tax loss harvesting
3.7 Fraud Detection
3.8 Analytics-driven CRM
3.9 Dynamic Portfolio Management
3.10 Credit Scoring
3.11 Currency Arbitrage
3.12 Pricing of derivatives
3.13 Key points in this chapter
Chapter 4: Vendors and Other Considerations
4.1 Vendor Considerations: The Quantum Computing Industry
4.1.1 Full-stack quantum computer
4.1.2 Access to Quantum Computing Resources
4.2 Quantum Computer Sales Strategy in Banking and Financial Services
4.3 Cybersecurity in Financial Services Data Centers
4.4 Spending on quantum computers
For more information on this report, please visit https://www.researchandmarkets.com/r/2y522s.
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