Demonstration of the trapped-ion quantum CCD computer architecture

By Juan Pino, J. Dreiling, Caroline Figgatt, J. Gaebler, S. Moses, M. Allman, C. Baldwin, M. Foss-Feig, D. Hayes, K. Mayer and 2 more. Nature, 2020

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AI for Next Generation Computing: Emerging Trends and Future Directions (2022, neutral): “Nevertheless, in recent years, we have seen a spectacular increase in the interest of major high-tech players (IBM, Microsoft, Google, Amazon, Intel, Honeywell), and a flourishing of many young companies aiming at proposing solutions for quantum computing, with various core technologies employed, ra”
A Race-Track Trapped-Ion Quantum Processor (2023, methodology): “Our first generation hardware, H∅ and H1 (based around the same linear trap design) [5, 16] demonstrated many key components of the QCCD architecture and achieved high-fidelity gates with arbitrary two-qubit (2Q) couplings.”
On-demand directional microwave photon emission using waveguide quantum electrodynamics (2022, background): “There are several approaches to realizing quantum networks, including the routing of optical photons between trapped-ion modules [4], coupling emitters to photonic waveguides [5, 6] or optical nanofibers [7– 10], shuttling ions [11, 12] or neutral atoms [13] between qubit arrays, or cavity-assisted ”