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First spin photon detector for AI data links

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April 15, 2025

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TDK has made a significant breakthrough in the field of data transfer with the development of a photo-spintronic conversion element that integrates optical, electronic, and magnetic components. This innovative spin photon detector boasts a remarkable response time of 20 picoseconds when exposed to 800nm light, surpassing traditional semiconductor-based photo detectors by more than tenfold. The enhanced speed of photoelectric conversion is poised to revolutionize data transmission and processing in artificial intelligence applications, offering not only faster performance but also reduced power consumption.

Building upon its successful CoFeB magnetic tunnel junction (MTJ) technology, which is widely utilized in billions of HDD heads, TDK has adapted this technology for photonics applications. A key advantage of this approach is its independence from crystal growth on a single crystal substrate, enabling the device to be constructed on various types of substrates or boards. This versatility is crucial for seamless integration into AI accelerator chips and chiplets, particularly for co-packaged optics (CPO) solutions.

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The unique operating principle of the Spin Photo Detector, which relies on an electron heating phenomenon, enables it to achieve ultra-high speeds even with a reduced wavelength of 800nm. Moreover, it offers a broader operating wavelength range compared to silicon converters, demonstrating functionality across visible light to near-infrared light spectra in collaborative tests conducted with Nihon University in Japan.

Aside from its applications in AI data processing, the spin photon detector holds promise for a diverse range of uses, including integration into augmented reality/virtual reality smart glasses, high-speed image sensors, and aerospace technologies. Notably, its robust resistance to cosmic rays enhances its suitability for space-related applications, underscoring its versatility and potential impact across various industries.

 

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