Abstract Over the past decade, progress in digital electronic computing systems has slowed as traditional, transistor-based silicon technologies approach their scaling limits. Quantum computing and non-Von Neumann computing architectures have emerged as promising alternatives for continued computational advancement—garnering significant investment and public interest. As a hardware platform, silicon photonics may play an important role in enabling quantum and classical information processing architectures. Here, I will discuss my thesis work on developing a programmable nanophotonic processor in silicon1, as well as applications of this processor within the fields of quantum simulation, quantum computing, and deep learning. I will cover recent results on (1) environment-assisted quantum transport2, (2) vowel recognition with deep learning3, and (3) single-photon sources4 and detectors5.
Advisor Name, Dirk Englund
Lab Quantum Photonics Lab