Novel permanent magnet array geometries for scalable trapped-ion quantum computing in a laser-free entanglement architecture

TL;DR

This paper introduces a new permanent magnet array design for scalable, laser-free trapped-ion quantum computing, improving ion transport and easing experimental constraints in large-scale QCCD architectures.

Contribution

The paper presents a novel magnet geometry that enhances scalability and transport in ion-based quantum computers, reducing alignment sensitivity and avoiding large electrical currents.

Findings

Design generates localized, asymmetric magnetic fields for ion transport.

Improves scalability over traditional dipolar magnet geometries.

Eases experimental alignment constraints.

Abstract

A novel design is presented for a permanent magnet array to address specific challenges with scalable trapped-ion quantum computing systems. Design and optimization of this magnet geometry is motivated by concepts for large-scale Quantum Charge-Coupled Device (QCCD) architectures. This proposal is relevant to magnetic field gradient schemes for laser-free entanglement using long-wavelength radiation, and individual addressing based on spatially dependent, magnetic field sensitive qubits. This configuration generates a localized, asymmetric magnetic field, yielding a region for ion transport into and out of a strong magnetic field gradient, while minimizing the absolute field experienced by the ion. This is a distinct improvement for scalability over dipolar magnet geometries where a strong magnetic field surrounds a magnetic field nil in three dimensions, which is problematic for ion transport applications. The design also relaxes the alignment constraints for experimental setup by allowing greater tolerance to misalignment in two dimensions. Additionally, the potential to scale a permanent magnet scheme in QCCD systems circumvents engineering challenges associated with using large electrical currents to generate the field gradient. Finally, a conceptual discussion is given for incorporating the design into a scalable QCCD type architecture.