"Silicon quantum photonics technology and its applications"

Dr. Jianwei Wang, Senior Research Associate, Centre for Quantum Photonics, School of Physics, University of Bristol

March 9th (Friday), 1:00pm
Engineering Science Building (ESB), Rm 2001

In this talk I will discuss the silicon quantum photonics circuitry technology and its applications. Silicon photonics has many excellent classical and quantum photonics properties, which would allow a monolithic integration of many photon sources, quantum circuits and photon detectors. I will discuss our recent progress of this technology and then its applications in the fields of quantum communications, learning and simulating quantum systems and quantum computing. In particular, the chip-to-chip quantum communication technology will be discussed, which allows the distribution of entangled states and transfer of quantum information between separated chips for secure communications. Recent works on high-dimensional quantum entanglement with large-scale silicon photonics will be presented. I will talk the implementation of machine learning techniques to quantum simulation and computation, including combining quantum simulation with machine learning to learn the Hamiltonian dynamics of an electron spin system, and molecular eigenspectra calculation based on a new concept of eigenstate witness.

About Dr. Jianwei Wang:

Jianwei Wang is a Senior Postdoctoral Researcher in the Centre for Quantum Photonics and Quantum Engineering Technology Labs of the University of Bristol. He received his Bachelor degree (2008) and Master degree (2011) in Optics Engineering from Zhejiang University, and obtained his PhD degree in Physics at the University of Bristol (2015). His current research interests are mainly focusing on quantum information science and technology with photons. In particular, he is developing large-scale quantum photonic integrated circuits and systems on silicon nanophotonics, and applying this mass-manufacturable quantum optical technology for advanced quantum information applications in the fields of communications, simulation, machine learning and computing, and also for studying the nature of quantum mechanics.

Hosted by: Professor John Bowers