用于量子计算的人工智能
Yuri Alexeev1, Marwa H Farag1, Taylor L Patti1
1NVIDIA Corporation, Santa Clara, CA, USA.
Nature communications
|December 2, 2025
概括
人工智能 (AI) 正在彻底改变量子计算 (QC). 在这里,我们可以看到AIAIAI.
科学领域:
- 计算机科学 计算机科学
- 量子信息科学 量子信息科学
背景情况:
- 人工智能 (AI) 已经对各种应用产生了重大影响.
- 量子计算 (QC) 由于其反直觉性质和高维数学,提出了复杂的挑战.
- 人工智能的数据驱动学习能力非常适合解决QC的复杂性.
研究的目的:
- 审查先进的人工智能技术在进步量子计算 (QC) 中的应用.
- 鼓励人工智能和QC专业知识之间的交叉授粉.
- 检查人工智能在QC中的未来机会和障碍.
主要方法:
- 对当前应用于质量控制挑战的AI技术的审查.
- 对AI在QC硬件和软件堆中的影响进行分析.
- 探索AI在QC设备设计和应用中的作用.
主要成果:
- 人工智能正在积极解决量子计算 (QC) 开发中的重大挑战.
- 人工智能技术正在增强QC的硬件和软件方面.
- 人工智能有助于从量子设备设计到QC应用程序的开发等领域.
结论:
- 整合人工智能对于克服量子计算 (QC) 中的主要扩展挑战至关重要.
- 人工智能的持续进步为QC的未来提供了巨大的机会.
- 解决跨学科的专业知识差距是实现AI在QC中的全部潜力的关键.
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