设计规则,精确的内预测和静态测量量子记忆候选者的合成
Zachary W Riedel1,2, Daniel P Shoemaker1,2
1Department of Materials Science and Engineering, University of Illinois Urbana─Champaign, Urbana, Illinois 61801, United States.
Journal of the American Chemical Society
|January 12, 2024
概括
立体测量Eu3+化合物显示出量子记忆的前景. 新的密度函数理论方法可以预测和识别像Cs2NaEuF6这样的稳定化合物,从而改善光学记忆.
科学领域:
- 材料科学
- 量子计算
- 固态化学
背景情况:
- 随着长核自旋相干时间和屏蔽光学转换,固态Eu3+化合物对量子记忆具有前景.
- 实现量子内存需要超窄,不均的线宽化合物,
- 对于密度函数理论 (DFT) 计算来说,兰化物4f电子存在稳定性预测挑战.
研究的目的:
- 开发可靠的DFT程序,用于预测量子内存应用中的Eu3+化合物的稳定性和特性.
- 为光学地址化量子内存识别具有超窄同质线宽的新候选材料.
- 探索酸盐和酸盐作为量子记忆研究的下一代化学空间.
主要方法:
- 利用密度函数理论 (DFT) 开发和验证用于预测相图和化合物稳定性的程序.
- 合成并描述了新型的双化Cs2NaEuF6.
- 分析计算数据库以确定未来量子记忆材料的有希望的化学空间.
主要成果:
- 开发了DFT程序,可以准确地复制已知的相位图并预测量子内存候选者.
- 成功合成了具有5.0 eV波段间隙的气稳双化Cs2NaEuF6
- 在Cs2NaEuF6中确定了围绕Eu3+的单核元素对减少不均的线宽扩展有益.
- 突出了酸盐和酸盐作为未来量子记忆材料发现的关键领域.
结论:
- 开发的DFT框架可靠地选Eu3+化合物的稳定性,并指导对量子记忆材料的搜索.
- Cs2NaEuF6是量子内存的一个有希望的新候选者,提供稳定性和有利的光学特性.
- 这项工作为探索化学效应在异质线宽和量子记忆技术的进步提供了途径.
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