This thesis focuses on exploring the applications of microcombs in high-speed signal processing and transmission. First, diverse RF functions are demonstrated and the relationships between the microcomb's parameters and the overall RF performance are thoroughly analyzed. Secondly, dense data transmission using field-trial fiber networks spanning the greater metropolitan area of Melbourne is performed. Thirdly, photonic neural networks at the speed of tera-OPs/s (operations per second) are proposed and demonstrated by boosting the hardware parallelism in the wavelength domain using the massive microcomb lines. Successful recognition of handwritten digits and cancer cells was performed.
History
Thesis type
Thesis (PhD by publication)
Thesis note
Presented in fulfillment of the requirements of the degree of Doctor of Philosophy, July 2020, Centre for Micro-Photonics, Faculty of Science, Engineering and Technology, Swinburne University of Technology.