Rymax-One: A neutral atom quantum processor to solve optimization problems
POSTER
Abstract
From efficient distribution of workload in industrial manufacturing plants to short vehicle routes for parcel delivery - computationally hard optimization problems are a crucial part of our modern society. While finding solutions using classical solvers requires substantial computational ressources, quantum processors promise to yield better solutions in less time.
To explore the potential of quantum computing for real-world applications, we are building Rymax-One, a quantum processor specifically designed to solve hard optimization problems. By using ultracold neutral Ytterbium atoms trapped in arbitrary arrays of optical tweezers, we aim for hardware-efficient encoding of optimization tasks. The level structure of Ytterbium provides qubit realizations with long coherence times, Rydberg-mediated interactions and high-fidelity gate operations, allowing us to realize a scalable platform for quantum processing to tackle real-world problems.
To explore the potential of quantum computing for real-world applications, we are building Rymax-One, a quantum processor specifically designed to solve hard optimization problems. By using ultracold neutral Ytterbium atoms trapped in arbitrary arrays of optical tweezers, we aim for hardware-efficient encoding of optimization tasks. The level structure of Ytterbium provides qubit realizations with long coherence times, Rydberg-mediated interactions and high-fidelity gate operations, allowing us to realize a scalable platform for quantum processing to tackle real-world problems.
Presenters
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Niclas Luick
- University of Hamburg