完美的线性光学使用光子学
Miltiadis Moralis-Pegios1, George Giamougiannis2, Apostolos Tsakyridis2
1Department of Informatics, Aristotle University of Thessaloniki, 54124, Thessaloniki, Greece. mmoralis@csd.auth.gr.
Nature communications
|June 27, 2024
概括
光子学 (SiPho) 能够实现高速计算. 这项研究表明,4x4连贯横杆芯片在10,000个线性转换中实现了99.997%的保真度,克服了制造方面的挑战.
科学领域:
- 综合光子学 综合光子学
- 神经形态计算是一种神经形态计算.
- 量子计算是一种量子计算.
背景情况:
- 光子学 (SiPho) 提供高速和节能计算.
- 将矩阵映射到光学架构是具有挑战性的,因为制造不完美和插入损失.
- 现有的光学架构因增加矩阵尺寸或损失而降低保真度.
研究的目的:
- 在芯片上实验部署和验证4x4连贯横杆 (Xbar).
- 为了证明光学矩阵的忠实恢复能力.
- 突出光子学在复杂计算方面的潜力.
主要方法:
- 一个4x4连贯横杆 (Xbar) 集成光学电路的实验实施.
- 理论上预测的忠实恢复的验证.
- 一万个任意线性转换的演示.
主要成果:
- 实现了对任意线性转换的99.997%±0.002的创纪录的高保真度.
- 展示了近乎统一的忠诚和独立于损失的忠诚.
- 测量设备是对准确度的主要限制.
结论:
- 集成光学电路为任意矩阵实现提供了高保真度.
- 光子学为复杂的计算提供了一个有希望的平台,克服了以前的局限性.
- 这项工作验证了光对于高级计算应用的潜力.
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