Ion-Based Quantum Computing Hardware: Performance and End-User Perspective
Thomas Strohm, Karen Wintersperger, Florian Dommert, Daniel, Basilewitsch, Georg Reuber, Andrey Hoursanov, Thomas Ehmer, Davide Vodola,, Sebastian Luber

TL;DR
This paper surveys the current state of trapped-ion quantum computing from an industrial end-user perspective, highlighting performance metrics, hardware capabilities, and future prospects for fault-tolerant systems.
Contribution
It provides a comprehensive overview of trapped-ion quantum hardware, including physical mechanisms, key performance metrics, and insights from industry discussions, from an end-user viewpoint.
Findings
Current trapped-ion systems have specific qubit counts and gate error rates.
Performance metrics vary across vendors and architectures.
Future fault-tolerant systems could significantly enhance capabilities.
Abstract
This is the second paper in a series of papers providing an overview of different quantum computing hardware platforms from an industrial end-user perspective. It follows our first paper on neutral-atom quantum computing. In the present paper, we provide a survey on the current state-of-the-art in trapped-ion quantum computing, taking up again the perspective of an industrial end-user. To this end, our paper covers, on the one hand, a comprehensive introduction to the physical foundations and mechanisms that play an important role in operating a trapped-ion quantum computer. On the other hand, we provide an overview of the key performance metrics that best describe and characterise such a device's current computing capability. These metrics encompass performance indicators such as qubit numbers, gate times and errors, native gate sets, qubit stability and scalability as well as…
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Taxonomy
TopicsQuantum Computing Algorithms and Architecture · Cloud Computing and Resource Management · Advanced Data Storage Technologies
