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SYQI: Symposium Quantum Information and the Quest for Fault-Tolerant Quantum Computing

SYQI 1: Quantum Information and the Quest for Fault-Tolerant Quantum Computing

SYQI 1.2: Invited Talk

Wednesday, September 10, 2025, 11:25–12:05, ZHG010

Scalable quantum computing with trapped ions — •Ferdinand Schmidt-Kaler — QUANTUM, Univ. Mainz

I will describe the challenges on the way to a scalable, eventually a fault tolerant quantum computer [1]. Efforts from physics, informatics [2,3] and mathematics but also engineering [4] are concentrated in BMBF-funded demonstrator setups. The hardware is suited for the implementation of topological quantum error correction with fault-tolerant syndrome readout [1] and feedforward operations. As a first glance into the power of quantum computing, I will describe a couple of usecases: the VQE-simulation of a two-flavor Schwinger quark model executed on a trapped-ion quantum processor [5], and the quantum autoencoder [6], as a simple instance of machine learning error codes of the specific hardware.
References: [1] Hilder et al., Phys. Rev. X.12.011032 (2022), [2] Kreppel et al., Quantum 7, 1176 (2023), [3] Durandeau et al., Quantum 7, 1175 (2023), [4] Kaustal et al., AVS Qu. Sci. 2, 014101 (2020), [5] Melzer et al., arXiv:2504.20824, [6] Locher et al., Quantum 7, 942 (2023).

Keywords: quantum computing; trapped ions; topological error correction; quantum use cases

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