Quick Navigation

Topics

Trapped Ion Quantum Computing

Dual-cavity controllable quantum battery

arXiv
Authors: Dayang Zhang, Shuangquan Ma, Yunxiu Jiang, Youbin Yu, Guangri Jin, Aixi Chen

Year

2024

Paper ID

66721

Status

Preprint

Abstract Read

~2 min

Abstract Words

136

Citations

N/A

Abstract

With the rapid development of quantum science and technology, quantum batteries have also emerged. However, there are still many unresolved issues in the field of quantum batteries. For example, how to improve battery space utilization, maximize battery energy storage, and how to increase and control the charging power of quantum batteries. A major challenge is how to achieve better charging power without reducing the energy storage of the quantum batteries. Here, we propose a controllable dual-cavity quantum battery which can increase the charging power without diminishing capacity of the quantum batteries by manipulating the number of atoms . This control method can effectively adjust the charging power of quantum batteries from N2 times to N2.5 times, and even to N3 times. By adjusting the number of atoms, quantum batteries can achieve theoretical "fast charging" and "slow charging".

Why This Paper Matters

  • This paper contributes to the Trapped-Ion Quantum Computing research area in the Quantum Articles archive.
  • It adds a 2024 reference point for readers tracking recent quantum research.
  • With the rapid development of quantum science and technology, quantum batteries have also emerged.

Paper Tools

Become a member to use research tools

Sign in to open papers, visit source links, share, cite, compare, copy DOI links, request category corrections, and build your reading list.

Show Paper arXiv Publisher Share Cite This Paper Copy URL Compare Copy DOI Add to Reading List Category Correction Request

References & Citation Signals

Local Citation Graph (Related-Paper Links)

Current Paper #66721

External citation index: OpenAlex citation signal

Community Reactions

Quick sentiment from readers on this paper.

Score: 0
Likes: 0 Dislikes: 0

Sign in to react to this paper.

Discussion & Reviews (Moderated)

Average Rating: 0.0 / 5 (0 ratings)

No written reviews yet.