Jessica Barr (She/Her)

 

Current research project

Machine Learning-enhanced diagnostics of open quantum networks

Characterising the evolution that results from the interaction between a quantum system and its environment is a key challenge for the development of quantum technologies. Every quantum system interacts with its environment, and these interactions significantly change the dynamics of the system. In particular, the interaction with an environment depletes the non-classical properties of a system in a process called the quantum-to-classical transition. The characterisation of how this process is driven is of paramount importance for the design of strategies aimed at counteracting such a transition. However, such characterization is also very difficult. It requires an accurate knowledge of the environmental spectral density, the full reconstruction of which is typically prevented by the inaccessibility of environmental systems. The scope of my project is to design approaches to the diagnosis of the environmental spectral density in open quantum systems using a combination of machine learning techniques and theoretical methods.

Biography

Graduated from Queens University Belfast in July 2021 with a first class honours in Msci Theoretical Physics.

Research interests

• Quantum information

• Open quantum systems

• Quantum machine learning

Pure page

https://pure.qub.ac.uk/en/persons/jessica-barr