In 2024, Google announced its groundbreaking quantum processor, Willow. Hartmut Neven, Founder and Lead at Google Quantum AI, described its performance as ‘astonishing.’ It completed a calculation in under five minutes that would take the fastest supercomputer an incomprehensible 10 septillion years. This staggering achievement underscores the accelerating reality of quantum computing and its imminent impact.
By Dave Wallace
Quantum computing isn’t just another step in computational evolution—it’s a seismic shift. With the ability to process information in entirely new ways, quantum computers promise to solve problems considered insurmountable by today’s classical systems. With their reliance on data, security, and optimisation, financial services stand to gain immensely and face significant disruption.
This article examines the opportunities and threats posed by quantum computing, drawing on real-world examples from Mastercard, HSBC, and Moody’s to outline defensive and offensive strategies for financial institutions.
Understanding Quantum Computing: A Globe of Possibilities
At its core, quantum computing leverages principles of quantum mechanics, such as superposition and entanglement. Unlike traditional binary bits, quantum bits (qubits) can exist in multiple states simultaneously, enabling exponential increases in computational power.
Managing Director of AI and Quantum Computing at Moody’s, Sergio Gago, offers a compelling metaphor: “Imagine the globe is a computer. Binary computers would only be able to use the North and South Poles. Quantum computers would be able to use any point on the globe.” This analogy illustrates the sheer scale and flexibility quantum computing brings to problem-solving. Just as a globe provides infinite points for exploration, quantum computing can explore multiple paths and solutions simultaneously, offering immense potential for tackling complex problems far beyond the reach of classical systems.
However, this power has significant implications—not just for innovation but also for cybersecurity and data integrity.
High-Level Use Cases for Finance
As quantum computing evolves, its potential to address some of the most pressing challenges in financial services becomes increasingly apparent. From risk management to customer personalisation, the applications span critical functions that drive industry efficiency, security, and innovation. Quantum computing has the potential to revolutionise several key areas in financial services. Below are some of the most impactful use cases:
- Portfolio Optimisation: Quantum algorithms can process vast datasets to identify optimal asset allocations, balancing risk and return far more efficiently than classical systems.
- Fraud Detection: Quantum-powered machine learning models can detect patterns and anomalies in real time across immense datasets, enhancing the accuracy and speed of fraud detection systems.
- Risk Management: Financial institutions can leverage quantum simulations to predict market behaviour, improve stress testing, and optimise hedging strategies.
- Cryptography and Cybersecurity: Quantum-safe encryption algorithms will be essential to safeguarding financial transactions against future quantum threats.
- Pricing and Valuation of Derivatives: Quantum models can simulate market scenarios at scale, enabling more precise pricing and reducing exposure to market volatility.
- High-Frequency Trading: Quantum systems can process and predict market trends faster than existing high-frequency trading algorithms, offering a competitive edge.
- Customer Personalisation: Quantum analytics can uncover deep behavioural patterns, allowing hyper-personalised financial services and loyalty programmes.
These high-level use cases highlight quantum computing’s transformative potential across the financial services industry.
Defensive Strategies: Preparing for Q-Day
“Q-Day” refers to the point when quantum computers become powerful enough to break current cryptographic standards, such as RSA. For Steve Flinter, Distinguished Engineer at Mastercard, Q-Day isn’t a question of “if” but “when.” While experts predict it might still be a decade away, the time for preparation is now.
At Mastercard, preparation centres around crypto agility. This means building systems capable of adapting swiftly to new cryptographic standards without costly overhauls. Flinter emphasises the importance of a crypto inventory—a detailed map of where and how encryption is used across the organisation. This inventory allows Mastercard to prioritise critical systems and implement quantum-safe algorithms systematically.
Flinter also highlights the crucial role of standards bodies like NIST and the US National Institute of Standards and Technology in setting global cryptographic standards. NIST’s work ensures that cryptographic protocols are robust, secure, and universally adopted across industries. Their ongoing efforts in post-quantum cryptography are vital for creating algorithms that can withstand the power of quantum computers. Companies like Mastercard are actively monitoring these developments and adopting emerging quantum-safe algorithms to future-proof their systems.
Offensive Strategies: Unlocking Quantum’s Potential
While defensive preparation is crucial, the real excitement lies in quantum’s offensive applications—where it can drive tangible business outcomes.
At HSBC, quantum computing is being explored in collaboration with Quantinuum. HSBC is leveraging quantum applications in cybersecurity, fraud detection, and natural language processing. They are also trialling quantum-secure technology for distributing tokenised physical gold, ensuring the integrity and security of critical financial assets in a quantum-enabled future. These initiatives showcase HSBC’s proactive approach to embedding quantum computing into its operations for improved resilience and efficiency.
Mastercard is also looking closely at proactive strategies, including:
- Fraud Detection: With billions of transactions processed annually, Mastercard relies on machine learning to detect fraudulent activity. However, the sheer volume of data can make identifying predictive signals challenging. Quantum algorithms excel at optimisation problems and are being explored to improve fraud model efficiency, accuracy, and scalability.
- Loyalty Programmes: Quantum computing can analyse vast datasets to identify intricate behavioural patterns, enabling hyper-personalised rewards programmes. Mastercard is leveraging this capability to deliver targeted offers, enhancing customer satisfaction and merchant engagement.
- Risk Management: Quantum simulations offer deeper insights into complex market dynamics, allowing financial institutions to price derivatives more precisely and stress-test portfolios more accurately.
Conclusion: The Time to Act is Now
Quantum computing represents both a looming threat and an unparalleled opportunity for financial services. Institutions must adopt a dual strategy: fortifying their systems against future threats while actively exploring quantum’s offensive capabilities. With experts predicting ‘Q-Day’ could arrive within the next decade, the urgency to act cannot be overstated. Mastercard’s approach provides a valuable model, balancing immediate preparation with long-term innovation.
The message is clear: prepare, experiment, and stay agile. The quantum era isn’t coming—it’s already here.
