Platform for Gender Initiatives in Distributed Quantum Machine Learning
Research Project , 2020 – 2021

Machine learning has become a powerful tool for finding patterns in data and is considered as one of the most important artificial intelligience techniques. With an ever-increasing amount of data, current machine learning systems are rapidly approaching the limits of classical computational models. Quantum systems, where a quantum version of bit, i.e., qubit, can stay in superposition of two states, are able to realize an exponential scaling factor for computing, significantly outperforming the classical computing that only has linear scaling capability. However, the efficiency of current quantum computers is largely limited by the computation power of a single quantum processor. In this regard, distributed quantum machine learning is introduced in the project, which takes advantages of interconnecting multiple quantum processors by optical communication networks and opens a new way to enhance learning capability.

The project will be driven by three young female researchers, who are currently at differene stages of their career development, Prof. Jiajia Chen (E2), Dr. Rui Lin (E2) and phd student Jiaying Yang (MC2). The envisioned platform for gender initiatives not only supports technical activities but also provides mentoring opportunities, which has a potential to greatly contribute to gender equality at Chalmers.

Participants

Jiajia Chen (contact)

Professor at Chalmers, Electrical Engineering, Communication and Antenna Systems, Optical Networks

Rui Lin

Post doc at Chalmers, Electrical Engineering, Communication and Antenna Systems, Optical Networks

Jiaying Yang

Doctoral Student at Chalmers, Microtechnology and Nanoscience (MC2), Quantum Technology

Funding

GENIE, Chalmers Gender Initiative for Excellence

Funding Chalmers participation during 2020–2021

Related Areas of Advance and Infrastructure

Information and Communication Technology

Areas of Advance

Sustainable development

Driving Forces

Basic sciences

Roots

More information

Latest update

2020-04-28