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Multi-junction surface ion trap for quantum computing
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Multi-junction surface ion trap for quantum computing
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Surface ion traps with two-dimensional layouts of trapping regions are natural architectures for storing large numbers of ions and supporting the connectivity needed to implement quantum algorithms. Many of the components and operations needed to fully exploit this architecture have already been demonstrated, including operation at cryogenic temperatures with low heating, low excitation transport, and ion control and detection with integrated photonics. Here we demonstrate a trap that addresses the scaling challenge of increasing power dissipation as the RF electrode increases in size. By raising the RF electrode and removing most of the insulating dielectric layer below it we reduce both ohmic and dielectric power dissipation. We also measure heating rates across a range of motional frequencies and for different voltage sources in a trap with a raised RF electrode but solid dielectric.
Forward citations
Cited by 3 Pith papers
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Efficient Compilation for Shuttling Trapped-Ion Machines via the Position Graph Architectural Abstraction
Position graph abstraction plus SHAPER/SHAW heuristics enable shuttling-aware compilation on trapped-ion machines, succeeding on extreme cases where baselines fail and yielding 1.45x average (up to 4x) speedups.
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Demonstration of transport in an ion trap design for two-dimensional lattices
Demonstrates DC-voltage-controlled radial transport of a single ion through transition zones in a prototype ion trap chip for 2D quantum spring array architecture, with measurements of stray fields and heating rates.
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Low-cost Ultra-low Noise DAC System-on-Module for Scalable Ion-Trap Electrode Control
A new open-hardware DAC module prototype based on commercial chips is presented and characterized for ultra-low noise ion-trap electrode control.
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