Quantum Entropy for Simulations
Stochastic methods and statistical simulations, such as Monte Carlo simulations, are an essential part of the modern economy. They are used across a wide range of applications and industries such as pricing complex financial instruments, portfolio optimisation, climate modelling and drug discovery.
Financial Services
Insurance
Science & Engineering
AI & Machine Learning
The accuracy and efficiency of these simulations have a tremendous direct impact on the bottom line of organisations operating in those sectors affecting both their budgets and their ability to make correct decisions.
Unfortunately, the current approach to enable these simulations is inefficient and ineffective.
The core of these simulations is random sampling to be able to model uncertain events, however, this is a task that the current state-of-the-art in computing hardware is ill-suited for.
What makes our solution different?
All “probabilistic” behaviour on a computer is currently simulated via deterministic algorithms and, therefore, only provide random-looking patterns rather than true randomness. Unlike algorithms, quantum physical processes are intrinsically unpredictable based on the underpinning laws of physics. We have pioneered a high-speed, reliable, and highly optimised architecture for randomness generation using quantum photonics.
Business advantages
Improved accuracy
More accurate estimates and predictions meaning organisations can make better informed decisions.
FEWER COMPUTATIONAL STEPS
A substantial reduction in computing steps leading to cost, time and energy savings.
