量子计算将推动金融领域的人工智能革命

Set to Drive an AI Revolution in Finance INTRODUCTION Quantum computing is emerging as a game-changing force that could revolutionise financialservices by applying data-driven and AI-led strategies to data processing, risk management,and financial modelling. It has significant implications for the ways financial institutions approach a wide rangeof activities from complex risk modelling, portfolio optimisation, and fraud detection toenhanced customer experience. Quantum can accelerate financial innovation, enhance decision-making, and strengthen ITinvestment and leadership. With SoftServe’s support, finance firms can become strategicenablers of technology-led new products and services by successfully deploying quantumcomputing. THE QUANTUM REVOLUTION Quantum-led AI is not just an incremental improvement — it's a paradigm shift that canredefine how financial institutions process data, manage risks, and make strategic decisions.As the financial industry navigates an increasingly complex landscape of data-drivendecision-making, quantum offers a powerful solution by processing massive datasets atunprecedented speeds. It is able to reveal insights that traditional systems simply can't uncover with financialmodelling capabilities beyond traditional AI systems. During the recent OpenGov Breakfast Insights event in Singapore, we conducted a survey ofthe financial sector’s business and technology leaders present. The results showed that theirtop priorities for the deployment of quantum AI in financial services are: Portfolio Optimisationand InvestmentStrategies Complex RiskModelling and FraudDetection Customer Experiencethrough Hyper-Personalised FinancialProducts TransactionProcessing andOperational Efficiency Quantum computing and AI are not merely futuristic concepts — they are each becoming astrategic imperative for financial institutions aiming to lead in an increasingly data-driven andcomplex landscape. To stay competitive, organisations can leverage quantum to enhance riskmanagement, optimise investment strategies, and redefine customer experiences. USE CASES Financial institutions will need to strategically position themselves if they want to embracequantum and accelerate their journey towards financial evolution. And working with expertpartners will be an important part of that journey to discover the opportunities it offers. SoftServe has already demonstrated the potential ofquantum computing through proof-of-concept (PoC) projects, exploring real use cases for financial clients. Some examples include: Quantum Financial Modelling for Risk Management:SoftServe collaboratedwith a leading financial institution to develop a PoC for a quantum-enhanced riskmodelling solution. By leveraging quantum-inspired Monte Carlo simulations,we showed how the institution could achieve unprecedented accuracy in riskforecasting and anomaly detection and improve its financial decision-makingprocesses.1 Fraud Detection and Prevention:In partnership with a global banking giant,SoftServe developed a PoC for a quantum-powered fraud detection system thatcould process transactional data at lightning speed. The solution would be able toenhance anomaly detection by 40% compared to classical systems, reducing fraud-related losses and safeguarding customer trust.2 Portfolio Optimisation and Investment Strategies:SoftServe worked with anasset management firm on a PoC that would optimise investment portfolios usingquantum. By analysing vast datasets and simulating market scenarios in real time,the firm was shown it could tailor investment strategies to individual risk profiles,achieving higher returns and improved customer satisfaction.3 Hybrid Quantum Computing for Scalability:To bridge the gap between classicaland quantum systems, SoftServe developed a hybrid computing architecture fora multinational bank. This PoC exercise showed how the bank could seamlesslyintegrate quantum into its existing infrastructure, ensuring scalability andoperational continuity while leveraging the power of quantum algorithms.4 NAVIGATING QUANTUM ADOPTION Adopting quantum and AI is not a one-size-fits-all journey. It requires a strategic approach thatbalances innovation with risk management, scalability with security, and agility with regulatorycompliance. Financial institutions face a complex landscape of challenges as they transitionfrom conventional computing models to hybrid architectures that integrate both classical andquantum systems. Developing a roadmap for navigating these challenges will require the strategic guidanceSoftServe provides to ensure a smooth path at each stage of adoption, from initial PoCexploration to full-scale implementation. This includes both infrastructure and securitychallenges in quantum computing and AI adoption and the importance of hybrid computingarchitectures for integration. Our survey revealed the main priorities of finance firms during the adoption stages ofquantum in their operations. These in