Quantum Communications using Machine Learning

Interdisciplinary Areas: Data/Information/Computation, Micro-, Nano-, and Quantum Engineering

Project Description

In this project, we will investigate the use of machine learning for quantum communication and key exchange systems.

Start Date

May 2020

Postdoc Qualifications 

The postdoc is expected to be knowledgeable in the areas of quantum computing, machine learning, with an EE/CS/Math/Stats/Physics or related background.

Co-advisors 

Vaneet Aggarwal
vaneet@purdue.edu
School of IE and ECE (courtesy)
https://engineering.purdue.edu/CLANLabs

Zubin Jacob
zjacob@purdue.edu
School of ECE
http://www.zjresearchgroup.org

References 

Altaisky, M. V. "Quantum neural network." arXiv preprint quant-ph/0107012 (2001). 

Baireuther, Paul, et al. "Machine-learning-assisted correction of correlated qubit errors in a topological code." Quantum 2 (2018): 48.