Probabilistic computing offers new ways to optimise routing, scheduling, and supply chain networks by leveraging probabilistic algorithms that find near-optimal solutions faster than classical brute-force methods.
It helps optimise delivery routes, fleet management, and scheduling tasks where uncertainty exists in demand, travel times, and customer requests. For example, it can reduce fuel costs and emissions by streamlining delivery routes.
It can efficiently tackle complex vehicle routing problems with multiple objectives like cost, time, and carbon footprint reduction.
CEO & Co-founder
A physicist by background, Ramy co-founded Quantum Dice right after completing his DPhil in Atomic and Laser Physics at the University of Oxford. Having previously worked on a wide variety of applications in quantum technologies ranging from computing to communications and sensing, Ramy has a passion for the communication and the commercialization of scientific breakthroughs. Ramy has been leading the company ever since its original inception focusing on ensuring the alignment between the technology development and the needs of the market while ensuring Quantum Dice’s continued growth.