Quantum Communications using Machine Learning
Interdisciplinary Areas: | Data/Information/Computation, Micro-, Nano-, and Quantum Engineering |
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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.