We focus on applications in quantum chemistry, computational biology, finance and combinatorial optimisation
Business use cases
Quantum computers have the potential to offer tremendous improvements in performance for computational problems in chemistry, finance, supply chain management, healthcare, and other fields.
Today, the quantum computing landscape is predominantly noisy intermediate-scale quantum (NISQ) devices. These have not been proven to guarantee a computational advantage. But, as an early adopter of this emerging technology, you can prepare for the arrival of the next generation of quantum computing hardware.
Our focus areas for applications include:
Quantum chemistry
Quantum chemistry applies principles of quantum mechanics to study the behaviour of atoms and molecules at the fundamental level. Understanding these interactions can be pivotal in the field of material science and molecular dynamics. We explore molecular simulations using methods such as tensor networks for quantum-inspired algorithms.
Computational biology
Computational biology harnesses computational methods to decipher complex biological processes. In drug discovery, it identifies more effective medicine through simulations of molecular interactions. In gene regulatory networks, researchers study gene coordination to pinpoint potential treatment targets. We explore algorithms such as tensor network simulations to gather insights in these areas.
Finance
Complex financial assets and portfolios demand ever-increasing computational power. By studying quantum algorithms in finance, we explore new ways to analyse financial data, optimise portfolio management and address risk.
Combinatorial optimisation
In most combinatorial optimisation problems, finding the solution requires exponential time because the number of possible solutions grows rapidly as the problem size increases. We explore new ways of solving these problems using quantum encoding schemes and quantum optimisation algorithms.
