Industry Use Cases: Quantum vs Classical Computing

Financial Services

Quantum computing is poised to reshape financial markets through superior optimisation and simulation capabilities. For complex tasks like portfolio optimisation, where classical computers struggle with vast search spaces, quantum algorithms show immense promise. Research from institutions like Goldman Sachs and IBM highlights the potential for quantum methods to analyse thousands of assets simultaneously, moving from hours-long calculations to near real-time analysis (6, 7). This could enable financial institutions to react faster to market changes and uncover novel investment strategies. Further applications include risk modelling, fraud detection, option pricing, stress testing and anti-money laundering analysis.

Healthcare and Pharmaceuticals

The drug discovery and development pipeline, a multi-billion dollar, decade-long process, is a prime candidate for quantum acceleration. Simulating molecular interactions is a task where quantum computers have a natural advantage. McKinsey and Company estimates that quantum computing could transform the R&D process, dramatically reducing the time and cost associated with bringing new therapies to patients (9). By enabling more accurate simulations of complex molecules, our platform can help researchers identify promising drug candidates faster and with higher confidence. Additional applications include protein modelling, genomics, personalised medicine and optimising clinical trials.

Logistics and Supply Chain

For global logistics companies, solving vehicle routing and network optimisation problems is critical for efficiency and cost savings. These travelling salesman type problems are notoriously difficult for classical computers. The Quantum Approximate Optimisation Algorithm (QAOA), a powerful hybrid quantum-classical approach, has demonstrated the ability to tackle these combinatorial optimisation problems effectively. Research indicates that for large-scale fleet optimisation, quantum approaches can find better solutions faster, leading to significant reductions in fuel costs and carbon emissions (10, 11). Warehouse operations and airline scheduling present similar opportunities for quantum-enhanced planning.

Manufacturing and Industrials

From production scheduling to materials discovery, quantum computing offers a new toolkit for manufacturers. Optimising a factory floor or a complex production plan involves navigating a web of constraints and variables. Quantum optimisation algorithms can explore this complex landscape to find more efficient solutions. Pasqal, a quantum hardware company, notes that quantum algorithms can optimise energy consumption across factories, ensuring machinery operates at peak efficiency (12). The ability to design novel materials with desired properties at the molecular level could further revolutionise industries from aerospace to consumer electronics.

Energy and Utilities

The global energy grid is one of the most complex systems ever built. Optimising power flow, integrating renewable energy sources and maintaining grid stability are immense computational challenges. Quantum computing can address these optimisation problems, with research showing potential for significant speedups in power flow calculations and grid management tasks (13). This can lead to a more resilient, efficient and sustainable energy infrastructure. Quantum approaches are also being explored for renewable energy forecasting, battery performance modelling and energy trading.

Chemicals and Advanced Materials

Material science is one of the most promising long-term applications for quantum computing. Researchers are exploring new battery technologies, catalysts, polymers, superconductors and carbon capture materials that are difficult to model accurately using classical computers alone. The ability to simulate atomic and molecular behaviour at scale could accelerate the discovery of next-generation materials across multiple industries.

Telecommunications

Telecommunications providers are researching quantum technologies to optimise network routing, spectrum allocation, capacity planning and infrastructure management. Alongside these operational applications, the sector is actively preparing for the future impact of quantum-safe security, as advances in quantum computing will require a fundamental rethinking of current encryption standards.

Government and Defence

Government agencies are evaluating quantum computing for secure communications, logistics planning, satellite scheduling, intelligence analysis, cybersecurity and mission planning where solving highly complex optimisation problems is critical. The combination of quantum optimisation and quantum-safe cryptography makes this one of the most strategically significant areas of quantum investment globally.

Aerospace and Aviation

Potential applications in aerospace include aircraft design optimisation, advanced material research, flight path planning, satellite constellation management and mission scheduling. The ability to model complex aerodynamic and structural problems at the quantum level could accelerate the development of next-generation aircraft and spacecraft.

Automotive

The automotive industry is investigating quantum computing for electric vehicle battery development, manufacturing optimisation, supply chain resilience and autonomous vehicle research. Battery chemistry simulation in particular is an area where quantum advantage could meaningfully reduce the time and cost of developing next-generation energy storage.

Insurance

Insurance companies can apply quantum techniques to risk assessment, catastrophe modelling, fraud detection, claims optimisation and investment portfolio management. The ability to model complex, correlated risk scenarios more accurately could improve both pricing precision and capital efficiency.

Agriculture

Quantum computing may support precision agriculture through crop optimisation, fertiliser development, weather modelling and food supply chain optimisation. As global food systems face increasing pressure from climate variability, quantum-enhanced simulation and optimisation tools could play a meaningful role in improving agricultural resilience and productivity.

Climate and Environmental Science

Researchers are exploring quantum computing to improve climate modelling, environmental simulations, carbon capture technologies and clean energy material discovery. The scale and complexity of climate systems make them well-suited to quantum simulation approaches that can capture interactions that classical models must approximate or ignore.

Cybersecurity

As quantum computing advances, organisations are preparing for the transition to post-quantum cryptography while investigating new approaches to secure communications and quantum key distribution. This is both a challenge and an opportunity: the same quantum capabilities that threaten current encryption standards are also enabling the development of fundamentally more secure communication protocols.

Retail and E-commerce

Retailers are exploring quantum computing for inventory optimisation, demand forecasting, pricing strategies, recommendation systems and supply chain management to improve customer experience while reducing operational costs. Quantum-enhanced optimisation could help retailers respond more dynamically to shifting demand patterns and supply constraints.

The Four Primary Areas of Quantum Advantage

Most emerging quantum applications fall into four key categories:

Optimisation Finding the best possible solution among millions or billions of potential outcomes. Applications include logistics, scheduling, finance and resource allocation.

Simulation Accurately modelling molecules, materials and physical systems to accelerate scientific discovery and engineering innovation.

Machine Learning Enhancing selected AI and machine learning algorithms through improved optimisation, sampling and pattern recognition techniques.

Cryptography Supporting the development of next-generation security technologies while preparing organisations for a post-quantum cybersecurity landscape.

How Quantum Links AI Can Help

At Quantum Links AI, we believe the future is hybrid.

Rather than replacing classical computing, we help organisations identify where quantum computing can complement existing AI, cloud and enterprise technologies to solve high-value business challenges. Our approach focuses on selecting the right computational method for each problem, whether that is classical computing, AI, quantum-inspired optimisation or quantum computing, ensuring practical, commercially viable solutions rather than technology for technology’s sake.

Our platform has already executed on live quantum hardware, and we work with organisations across sectors to identify where quantum can make a real difference to their specific challenges.

By combining artificial intelligence with emerging quantum technologies, Quantum Links AI helps organisations prepare for the next generation of innovation while delivering measurable business value today. If you would like to explore what quantum computing could mean for your organisation, we would be happy to start that conversation.