Rymax-One: Solving Optimization Problems on a Neutral Atom Quantum Computer

Quantum computers are set to advance various domains of science and technology due to their ability to efficiently solve computationally hard problems. Of particular interest are combinatorial optimization problems, whose solutions could provide the basis for optimal supply chains and vehicle routing. However, achieving such a quantum advantage is still prevented by the quality and scale of the available quantum computing hardware.

Here, we present our project Rymax-One (www.rymax.one) – which aims at building a quantum computer specifically designed to solve optimization problems which are intractable on classical devices. To achieve this goal, we are using trapped arrays of ultracold Ytterbium-171 atoms, whose level structure enables the realization of qubits with long coherence times and high-fidelity gate operations. This will enable us to realize a scalable quantum computing platform to explore the performance of novel quantum algorithms and demonstrate the potential of quantum computing to tackle real-world problems.