Partnering with Deloitte to understand how the financial services industry can benefit from quantum computing
Quantum computing is poised to transform industries from finance to pharmaceuticals, logistics to machine learning, and more. The financial services industry is particularly well-positioned to reap the potential benefits of this transformational approach to computing.
As quantum computing technology matures, the potential applications within the financial services industry are starting to take shape. We’ve partnered with Deloitte to highlight key applications that companies across the financial services industry can start exploring as they seek to understand and invest in quantum technology.
Exploring the top financial services use cases of quantum computing
As we stand on the brink of a new era in advanced computing, it is critical that financial service leaders actively engage with the opportunities quantum technology presents.
The identification of the six most impactful and feasible use cases—out of more than 50 total analyzed—provides a clear roadmap for investment and exploration. These applications are largely centered around three key types of solutions: combinatorial optimization, machine learning, and simulations.
Access the full analysis report to learn more about how quantum computing can accelerate these applications.
Validating top use cases on today’s quantum hardware
Financial industry leaders are already researching and developing solutions within the highest opportunity areas, but many have been hindered by three major roadblocks:
- Hardware noise: Errors inhibit the ability to get useful results.
- Device size: Devices are limited in the number of qubits, especially usable qubits, due to the impact of hardware noise.
- Talent barriers: Building and testing quantum solutions requires a full team of quantum experts.
Fortunately, advanced software solutions can help eliminate these roadblocks. Fire Opal is a software package that makes it simple for anyone to achieve meaningful results from quantum computers. Using AI-driven error suppression, Fire Opal reduces errors to maximize the potential of hardware, enabling users to successfully scale to large problem sizes beyond the scope of toy problems.
Fire Opal eliminates the need to even run quantum circuits. Its hardware-aware application solvers can run entire algorithms from only high-level problem inputs. Operations researchers and data scientists using existing optimization tools can test optimization problems using quantum algorithms without needing any quantum expertise. Because Fire Opal’s solvers are noise-aware, they obtain highly accurate solutions on real hardware at scales far beyond the size limitations of standard implementations. It’s finally possible to assess the impact that quantum will have on real use cases and project the point at which advantage will be achieved.
Discover how we helped a financial organization run algorithms on more cost-effective hardware systems while achieving results comparable to more premium systems.
Get in touch today for a demonstration to explore how we can help you run valuable algorithms on quantum hardware and achieve a quantum advantage for financial use cases.
