A method of an on-demand beamsplitter for trapped-ion quantum computers

Quantum information processing using local modes of trapped ions has been applied to implementing bosonic quantum error correction codes and conducting efficient quantum simulation of bosonic systems. However, control of entanglement among local modes remains difficult because entanglement among resonant local modes is governed by the Coulomb interaction, which is not switchable. We propose a method of a beamsplitter for a trapped-ion architecture, where the secular frequency of each mode is dynamically controllable. The neighboring modes are far detuned except when the beamsplitter needs to be applied to them. We derive the analytical formula of the proposed procedure and numerically confirm its validity.

Publication Details

Journal
arXiv (Cornell University)
Published
2025-08-27
Primary Topic
Geochemistry and Geologic Mapping
Type
article
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article

A method of an on-demand beamsplitter for trapped-ion quantum computers

arXiv (Cornell University)
Geochemistry and Geologic Mapping
article

A method of an on-demand beamsplitter for trapped-ion quantum computers

article en

Abstract

Quantum information processing using local modes of trapped ions has been applied to implementing bosonic quantum error correction codes and conducting efficient quantum simulation of bosonic systems. However, control of entanglement among local modes remains difficult because entanglement among resonant local modes is governed by the Coulomb interaction, which is not switchable. We propose a method of a beamsplitter for a trapped-ion architecture, where the secular frequency of each mode is dynamically controllable. The neighboring modes are far detuned except when the beamsplitter needs to be applied to them. We derive the analytical formula of the proposed procedure and numerically confirm its validity.

arXiv (Cornell University)
Openalex Percentile: Top 60%
Geochemistry and Geologic Mapping
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A method of an on-demand beamsplitter for trapped-ion quantum computers · arXiv (Cornell University) (2025) | TGRS Research Map | TGRS