2017/08/15 by James Siverns, James D. Siverns, Qudsia Quraishi · 26 citations
Chemistry · Computer Science · Physics and Astronomy · #Artificial intelligence #Chemistry #Computer science #Engineering physics #Ion #Ion trap #Materials science #Nanotechnology #Neural Networks and Reservoir Computing #Open quantum system #Physics #Quantum #Quantum Information and Cryptography #Quantum computer #Quantum entanglement #Quantum mechanics #Quantum optics and atomic interactions #Quantum technology #Robustness (evolution) #Salient #Trap (plumbing) #quant-ph
paper · pdf · doi:10.1007/s11128-017-1760-2
published in Quantum Information Processing 16(12) (Springer Science+Business Media) · 30 pages, 28 figures, 6 tables
arxiv created 2017/08/15 · openalex publication_date 2017/11/13 · arxiv updated 2018/01/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Trapped ion technology has seen advances in performance, robustness, and versatility over the last decade. With increasing numbers of trapped ion groups world-wide, a myriad of trap architectures are currently in use. Applications of trapped ions include: quantum simulation, computing and networking, time standards and fundamental studies in quantum dynamics. Design of such traps is driven by these various research aims, but some universally desirable properties have lead to the development of ion trap foundries. The excellent control achievable with trapped ions and the ability to do photonic-readout, has allowed progress on quantum networking using entanglement between remotely situated ion-based nodes. Here we present a selection of trap architectures currently in use by the community and present their most salient characteristics, identifying features particularly suited for quantum networking. We also discuss our own in-house research efforts aimed at long-distance trapped ion-networking.